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opinion</title> <meta name="description" content="Search results for: opinion"> <meta name="keywords" content="opinion"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler ml-auto" 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class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="opinion"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 605</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: opinion</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">605</span> Independent Audit in Brazilian Companies Listed on B3: An Analysis of Companies That Received Qualified Opinion and Disclaimer of Opinion</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Diego%20Saldo%20Alves">Diego Saldo Alves</a>, <a href="https://publications.waset.org/abstracts/search?q=Marcelo%20Paveck%20Ayub"> Marcelo Paveck Ayub</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The quality of accounting information is very important for the decision-making of managers, investors government and other information users. The opinion of the independent audit has a significant influence on the decision-making, especially the investors. Therefore, the aim of this study is to analyze the reasons that companies listed on Brazilian Stock Exchange B3, if they received qualified opinion and disclaimer of opinion of the independent auditors. We analyzed the reports of the independent auditors of 23 Brazilian companies listed in B3 that received qualified opinion and disclaimer of opinion between the years 2012 and 2017. The findings show that the companies do not comply the International Financial Reporting Standard, IFRS, also they did not provide documentation to prove the operations performed, did not account expenses, problems in corporate governance and internal controls. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=audit" title="audit">audit</a>, <a href="https://publications.waset.org/abstracts/search?q=disclaimer%20of%20opinion" title=" disclaimer of opinion"> disclaimer of opinion</a>, <a href="https://publications.waset.org/abstracts/search?q=independent%20auditors" title=" independent auditors"> independent auditors</a>, <a href="https://publications.waset.org/abstracts/search?q=qualified%20opinion" title=" qualified opinion"> qualified opinion</a> </p> <a href="https://publications.waset.org/abstracts/102782/independent-audit-in-brazilian-companies-listed-on-b3-an-analysis-of-companies-that-received-qualified-opinion-and-disclaimer-of-opinion" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/102782.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">193</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">604</span> Effects of Initial State on Opinion Formation in Complex Social Networks with Noises</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yi%20Yu">Yi Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Vu%20Xuan%20Nguyen"> Vu Xuan Nguyen</a>, <a href="https://publications.waset.org/abstracts/search?q=Gaoxi%20Xiao"> Gaoxi Xiao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Opinion formation in complex social networks may exhibit complex system dynamics even when based on some simplest system evolution models. An interesting and important issue is the effects of the initial state on the final steady-state opinion distribution. By carrying out extensive simulations and providing necessary discussions, we show that, while different initial opinion distributions certainly make differences to opinion evolution in social systems without noises, in systems with noises, given enough time, different initial states basically do not contribute to making any significant differences in the final steady state. Instead, it is the basal distribution of the preferred opinions that contributes to deciding the final state of the systems. We briefly explain the reasons leading to the observed conclusions. Such an observation contradicts with a long-term belief on the roles of system initial state in opinion formation, demonstrating the dominating role that opinion mutation can play in opinion formation given enough time. The observation may help to better understand certain observations of opinion evolution dynamics in real-life social networks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=opinion%20formation" title="opinion formation">opinion formation</a>, <a href="https://publications.waset.org/abstracts/search?q=Deffuant%20model" title=" Deffuant model"> Deffuant model</a>, <a href="https://publications.waset.org/abstracts/search?q=opinion%20mutation" title=" opinion mutation"> opinion mutation</a>, <a href="https://publications.waset.org/abstracts/search?q=consensus%20making" title=" consensus making"> consensus making</a> </p> <a href="https://publications.waset.org/abstracts/94023/effects-of-initial-state-on-opinion-formation-in-complex-social-networks-with-noises" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/94023.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">177</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">603</span> The Magnitude Scale Evaluation of Cross-Platform Internet Public Opinion </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yi%20Wang">Yi Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Xun%20Liang"> Xun Liang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper introduces a model of internet public opinion waves, which describes the message propagation and measures the influence of a detected event. We collect data on public opinion propagation from different platforms on the internet, including micro-blogs and news. Then, we compare the spread of public opinion to the seismic waves and correspondently define the P-wave and S-wave and other essential attributes and characteristics in the process. Further, a model is established to evaluate the magnitude scale of the events. In the end, a practical example is used to analyze the influence of network public opinion and test the reasonability and effectiveness of the proposed model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=internet%20public%20opinion%20waves%20%28IPOW%29" title="internet public opinion waves (IPOW)">internet public opinion waves (IPOW)</a>, <a href="https://publications.waset.org/abstracts/search?q=magnitude%20scale" title=" magnitude scale"> magnitude scale</a>, <a href="https://publications.waset.org/abstracts/search?q=cross-platform" title=" cross-platform"> cross-platform</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20propagation" title=" information propagation"> information propagation</a> </p> <a href="https://publications.waset.org/abstracts/54219/the-magnitude-scale-evaluation-of-cross-platform-internet-public-opinion" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54219.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">287</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">602</span> Feature-Based Summarizing and Ranking from Customer Reviews</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dim%20En%20Nyaung">Dim En Nyaung</a>, <a href="https://publications.waset.org/abstracts/search?q=Thin%20Lai%20Lai%20Thein"> Thin Lai Lai Thein</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Due to the rapid increase of Internet, web opinion sources dynamically emerge which is useful for both potential customers and product manufacturers for prediction and decision purposes. These are the user generated contents written in natural languages and are unstructured-free-texts scheme. Therefore, opinion mining techniques become popular to automatically process customer reviews for extracting product features and user opinions expressed over them. Since customer reviews may contain both opinionated and factual sentences, a supervised machine learning technique applies for subjectivity classification to improve the mining performance. In this paper, we dedicate our work is the task of opinion summarization. Therefore, product feature and opinion extraction is critical to opinion summarization, because its effectiveness significantly affects the identification of semantic relationships. The polarity and numeric score of all the features are determined by Senti-WordNet Lexicon. The problem of opinion summarization refers how to relate the opinion words with respect to a certain feature. Probabilistic based model of supervised learning will improve the result that is more flexible and effective. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=opinion%20mining" title="opinion mining">opinion mining</a>, <a href="https://publications.waset.org/abstracts/search?q=opinion%20summarization" title=" opinion summarization"> opinion summarization</a>, <a href="https://publications.waset.org/abstracts/search?q=sentiment%20analysis" title=" sentiment analysis"> sentiment analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=text%20mining" title=" text mining"> text mining</a> </p> <a href="https://publications.waset.org/abstracts/25595/feature-based-summarizing-and-ranking-from-customer-reviews" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25595.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">332</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">601</span> Review for Identifying Online Opinion Leaders</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yu%20Wang">Yu Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nowadays, Internet enables its users to share the information online and to interact with others. Facing with numerous information, these Internet users are confused and begin to rely on the opinion leaders’ recommendations. The online opinion leaders are the individuals who have professional knowledge, who utilize the online channels to spread word-of-mouth information and who can affect the attitudes or even the behavior of their followers to some degree. Because utilizing the online opinion leaders is seen as an important approach to affect the potential consumers, how to identify them has become one of the hottest topics in the related field. Hence, in this article, the concepts and characteristics are introduced, and the researches related to identifying opinion leaders are collected and divided into three categories. Finally, the implications for future studies are provided. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=online%20opinion%20leaders" title="online opinion leaders">online opinion leaders</a>, <a href="https://publications.waset.org/abstracts/search?q=user%20attributes%20analysis" title=" user attributes analysis"> user attributes analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=text%20mining%20analysis" title=" text mining analysis"> text mining analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20structure%20analysis" title=" network structure analysis"> network structure analysis</a> </p> <a href="https://publications.waset.org/abstracts/75740/review-for-identifying-online-opinion-leaders" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75740.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">223</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">600</span> The Research on Association between Social Media and Audit Opinion</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Meiqun%20Yin">Meiqun Yin</a>, <a href="https://publications.waset.org/abstracts/search?q=Jidong%20Zhang"> Jidong Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Fan%20Liu"> Fan Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper investigates the impact of social media on audit opinion. The numbers of posting and reposting negative reports from SINA Micro-blog are collected to measure the influence of social media. The research collected the samples from Chinese public firms from 2012 to 2014. It is found that the numbers of posting and reposting negative reports in SINA Micro-Blog would significantly relate to the qualified opinion while controlling firm size. Another finding is that the numbers of posting and reposting negative reports would be much more significantly impact on audit opinion if the firm received a qualified opinion in the previous period. It is also found that the involvement of more independent directors has no relationship with the influence of social media on audit opinion. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=association" title="association">association</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20media" title=" social media"> social media</a>, <a href="https://publications.waset.org/abstracts/search?q=audit%20opinion" title=" audit opinion"> audit opinion</a>, <a href="https://publications.waset.org/abstracts/search?q=SINA%20Micro-Blog" title=" SINA Micro-Blog"> SINA Micro-Blog</a> </p> <a href="https://publications.waset.org/abstracts/63914/the-research-on-association-between-social-media-and-audit-opinion" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/63914.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">266</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">599</span> Dynamic Transmission Modes of Network Public Opinion on Subevents Clusters of an Emergent Event</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yuan%20Xu">Yuan Xu</a>, <a href="https://publications.waset.org/abstracts/search?q=Xun%20Liang"> Xun Liang</a>, <a href="https://publications.waset.org/abstracts/search?q=Meina%20Zhang"> Meina Zhang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The rise and attenuation of the public opinion broadcast of an emergent accident, in the social network, has a close relationship with the dynamic development of its subevents cluster. In this article, we take Tianjin Port explosion's subevents as an example to research the dynamic propagation discipline of Internet public opinion in a sudden accident, and analyze the overall structure of dynamic propagation to propose four different routes for subevents clusters propagation. We also generate network diagrams for the dynamic public opinion propagation, analyze each propagation type specifically. Based on this, suggestions on the supervision and guidance of Internet public opinion broadcast can be made. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=network%20dynamic%20transmission%20modes" title="network dynamic transmission modes">network dynamic transmission modes</a>, <a href="https://publications.waset.org/abstracts/search?q=emergent%20subevents%20clusters" title=" emergent subevents clusters"> emergent subevents clusters</a>, <a href="https://publications.waset.org/abstracts/search?q=Tianjin%20Port%20explosion" title=" Tianjin Port explosion"> Tianjin Port explosion</a>, <a href="https://publications.waset.org/abstracts/search?q=public%20opinion%20supervision" title=" public opinion supervision"> public opinion supervision</a> </p> <a href="https://publications.waset.org/abstracts/54222/dynamic-transmission-modes-of-network-public-opinion-on-subevents-clusters-of-an-emergent-event" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54222.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">296</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">598</span> Lexical Based Method for Opinion Detection on Tripadvisor Collection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Faiza%20Belbachir">Faiza Belbachir</a>, <a href="https://publications.waset.org/abstracts/search?q=Thibault%20Schienhinski"> Thibault Schienhinski</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The massive development of online social networks allows users to post and share their opinions on various topics. With this huge volume of opinion, it is interesting to extract and interpret these information for different domains, e.g., product and service benchmarking, politic, system of recommendation. This is why opinion detection is one of the most important research tasks. It consists on differentiating between opinion data and factual data. The difficulty of this task is to determine an approach which returns opinionated document. Generally, there are two approaches used for opinion detection i.e. Lexical based approaches and Machine Learning based approaches. In Lexical based approaches, a dictionary of sentimental words is used, words are associated with weights. The opinion score of document is derived by the occurrence of words from this dictionary. In Machine learning approaches, usually a classifier is trained using a set of annotated document containing sentiment, and features such as n-grams of words, part-of-speech tags, and logical forms. Majority of these works are based on documents text to determine opinion score but dont take into account if these texts are really correct. Thus, it is interesting to exploit other information to improve opinion detection. In our work, we will develop a new way to consider the opinion score. We introduce the notion of trust score. We determine opinionated documents but also if these opinions are really trustable information in relation with topics. For that we use lexical SentiWordNet to calculate opinion and trust scores, we compute different features about users like (numbers of their comments, numbers of their useful comments, Average useful review). After that, we combine opinion score and trust score to obtain a final score. We applied our method to detect trust opinions in TRIPADVISOR collection. Our experimental results report that the combination between opinion score and trust score improves opinion detection. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tripadvisor" title="Tripadvisor">Tripadvisor</a>, <a href="https://publications.waset.org/abstracts/search?q=opinion%20detection" title=" opinion detection"> opinion detection</a>, <a href="https://publications.waset.org/abstracts/search?q=SentiWordNet" title=" SentiWordNet"> SentiWordNet</a>, <a href="https://publications.waset.org/abstracts/search?q=trust%20score" title=" trust score"> trust score</a> </p> <a href="https://publications.waset.org/abstracts/91179/lexical-based-method-for-opinion-detection-on-tripadvisor-collection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91179.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">198</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">597</span> Social Media Diffusion And Implications For Opinion Leadership In Northcentral Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chuks%20Odiegwu-Enwerem">Chuks Odiegwu-Enwerem</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The classical notion of opinion leadership presupposes that the media is at the center of an effective and successful opinion leadership. Under this idea, an opinion leader is an active media user who consumes, understands, digests and interprets the messages for the understanding and acceptance/adoption by lower-end media users – whose access and understanding of media content are supposedly low. Because of their unique access to and presumed understanding of media functions and their content, opinion leaders are typically esteemed by those who look forward to and accept their opinions. Lazarsfeld and Katz’s two-step flow of communication theory is the basis of opinion leadership – propelled by limited access to the media. With the emergence and spread of social media and its unlimited access by all and sundry, however, the study interrogates the relevance and application of opinion leaders and, by implication, the two-step flow communication theory in Nigeria’s Northcentral region. It seeks to determine whether opinion leaders still exist in the picture and if they still exert considerable influence, especially in matters of political conversations and decision-making among the citizens of this area. It further explores whether the diffusion of social media is a reality and how the ‘low-end’ media users react to the new-found freedom of access to media, and how they are using it to inform their decisions on important matters as well as examines if they are still glued to their opinion leaders. This study explores the empirical dimensions of the two-step flow hypothesis in relation to the activities of social media to determine if a change has occurred and in what direction, using mixed methos of Survey and in-depth interviews. Our understanding and belief in some theoretical assumptions may be enhanced or challenged by the study outcome. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Opinion%20Leadership" title="Opinion Leadership">Opinion Leadership</a>, <a href="https://publications.waset.org/abstracts/search?q=Active%20Media%20User" title=" Active Media User"> Active Media User</a>, <a href="https://publications.waset.org/abstracts/search?q=Two-Step-Flow" title=" Two-Step-Flow"> Two-Step-Flow</a>, <a href="https://publications.waset.org/abstracts/search?q=Social%20media" title=" Social media"> Social media</a>, <a href="https://publications.waset.org/abstracts/search?q=Northcentral%20Nigeria" title=" Northcentral Nigeria"> Northcentral Nigeria</a> </p> <a href="https://publications.waset.org/abstracts/170493/social-media-diffusion-and-implications-for-opinion-leadership-in-northcentral-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/170493.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">70</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">596</span> The Power of Public Opinion in the Xinhai Revolution: Media, Public Sentiment, and Social Mobilization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yu%20Yaochuan">Yu Yaochuan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper explores the pivotal role of public opinion during the Xinhai Revolution. Examining the dynamics of public sentiment in Chinese society in 1911 shows how information dissemination, ideological propaganda, and public mobilization worked together to drive the revolution to success. The study highlights the indispensable role of revolutionary newspapers, assemblies, and speeches in spreading revolutionary ideas, mobilizing the public, and shaping policy perceptions. By analyzing these historical events, the paper provides a deeper insight into the Xinhai Revolution and offers theoretical and empirical support for understanding the application of public opinion in modern social and political transformations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xinhai%20Revolution" title="Xinhai Revolution">Xinhai Revolution</a>, <a href="https://publications.waset.org/abstracts/search?q=public%20opinion" title=" public opinion"> public opinion</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20mobilization" title=" social mobilization"> social mobilization</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20dissemination" title=" information dissemination"> information dissemination</a>, <a href="https://publications.waset.org/abstracts/search?q=ideology" title=" ideology"> ideology</a>, <a href="https://publications.waset.org/abstracts/search?q=political%20transformation" title=" political transformation"> political transformation</a> </p> <a href="https://publications.waset.org/abstracts/186513/the-power-of-public-opinion-in-the-xinhai-revolution-media-public-sentiment-and-social-mobilization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/186513.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">43</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">595</span> Moderating Effect of Owner's Influence on the Relationship between the Probability of Client Failure and Going Concern Opinion Issuance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Noor%20Hisham%20Osman">Mohammad Noor Hisham Osman</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Razman%20Abdul%20Latiff"> Ahmed Razman Abdul Latiff</a>, <a href="https://publications.waset.org/abstracts/search?q=Zaidi%20Mat%20Daud"> Zaidi Mat Daud</a>, <a href="https://publications.waset.org/abstracts/search?q=Zulkarnain%20Muhamad%20Sori"> Zulkarnain Muhamad Sori</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The problem that Malaysian auditors do not issue going concern opinion (GC opinion) to seriously financially distressed companies is still a pressing issue. Policy makers, particularly the Financial Statement Review Committee (FSRC) of Malaysian Institute of Accountant, have raised this issue as early as in 2009. Similar problem happened in the US, UK, and many developing countries. It is important for auditors to issue GC opinion properly because such opinion is one signal about the viability of a company much needed by stakeholders. There are at least two unanswered questions or research gaps in the literature on determinants of GC opinion. Firstly, is client’s probability of failure associated with GC opinion issuance? Secondly, to what extent influential owners (management, family, and institution) moderate the association between client probability of failure and GC opinion issuance. The objective of this study is, therefore, twofold; (1) To examine the extent of the relationship between the probability of client failure and the issuance of GC opinion and (2) To examine the level of management, family, and institutional ownerships moderate the association between client probability of failure and the issuance of GC opinion. This study is quantitative in nature, and the sources of data are secondary (mainly company’s annual reports). A total of four hypotheses have been developed and tested on data accumulated from annual reports of seriously financially distressed Malaysian public listed companies. Data from 2006 to 2012 on a sample of 644 observations have been analyzed using panel logistic regression. It is found that certainty (rather than probability) of client failure affects the issuance of GC opinion. In addition, it is found that only the level of family ownership does positively moderate the relationship between client probability of failure and GC opinion issuance. This study is a contribution to auditing literature as its findings can enhance our understanding about audit quality; particularly on the variables that are associated with the issuance of GC opinion. The findings of this study shed light on the roles family owners in GC opinion issuance process, and this would open ways for the researcher to suggest measures that can be used to tackle the problem of auditors do not want to issue GC opinion to financially distressed clients. The measures to be suggested can be useful to policy makers in formulating future promulgations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=audit%20quality" title="audit quality">audit quality</a>, <a href="https://publications.waset.org/abstracts/search?q=auditing" title=" auditing"> auditing</a>, <a href="https://publications.waset.org/abstracts/search?q=auditor%20characteristics" title=" auditor characteristics"> auditor characteristics</a>, <a href="https://publications.waset.org/abstracts/search?q=going%20concern%20opinion" title=" going concern opinion"> going concern opinion</a>, <a href="https://publications.waset.org/abstracts/search?q=Malaysia" title=" Malaysia"> Malaysia</a> </p> <a href="https://publications.waset.org/abstracts/93046/moderating-effect-of-owners-influence-on-the-relationship-between-the-probability-of-client-failure-and-going-concern-opinion-issuance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/93046.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">260</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">594</span> The Evloution of LGBTQ Right in the U. S.: The Vaugries of Presidential Leadership and Followership</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Michael%20A.%20Genovese">Michael A. Genovese</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The struggle for LGBTQ rights in the United States began in Greenwich Village, New York, in 1967, when police tried to break up a gathering of mostly gay men who were partying at the Stonewall Bar in NYC. As unlikely as it may sound, this “riot” proved to be consequential in raising the political consciousness of gay men in America. From that point on, gays engaged in a political battle to achieve the rights to which they were entitled. This essay examines changes in popular opinion regarding LGBTQ rights from the late 1960s through the Trump administration, and examines the role public pressure played on presidential politics. For most of this period, presidents “followed” public opinion. This was true even during the administration of Barack Obama when gay Americans finally achieved some clearly spelled out rights (e.g. same-sex marriage). The findings of this paper call into question certain assumptions about presidential leadership, and underline the power of public opinion in shaping policy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=presidential%20leadership" title="presidential leadership">presidential leadership</a>, <a href="https://publications.waset.org/abstracts/search?q=gay%20rights" title=" gay rights"> gay rights</a>, <a href="https://publications.waset.org/abstracts/search?q=LGBTQ" title=" LGBTQ"> LGBTQ</a>, <a href="https://publications.waset.org/abstracts/search?q=popular%20opinion" title=" popular opinion"> popular opinion</a> </p> <a href="https://publications.waset.org/abstracts/167989/the-evloution-of-lgbtq-right-in-the-u-s-the-vaugries-of-presidential-leadership-and-followership" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167989.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">87</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">593</span> The Role of British Public Opinion in the Process of the Great Britain’s Involvement in the Crimean War</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aysen%20Muderrisoglu">Aysen Muderrisoglu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> As a result of the policies constituted and pursued by Russia which aimed to gain territory and power at Ottoman expense, Crimean War broke out in 1853. Nevertheless, the Eastern policies of Russia were in contradiction with the interests of Great Britain which was the great power of the era. Yet, it did hesitate to be confronted with Russian on its route to India, so the Ottoman territorial integrity was defended. In that period, Tzar Nicholas II, to begin with, tried to eliminate a probable opposition coming from the British side, and then tried its chance to build up cooperation with Britain on the territories of the sick man. As a more positive relation was being observed between these two states before the Crimean War, Great Britain initially had adopted a neutral policy. However, in the end, Britain entered the war against Russia due to the efforts of the opposing side in the British Parliament and the rising pressure of the public opinion. The article aims to examine the role of British public opinion in the process of Great Britain’s Involvement in this war. Also, the article will try to find an answer to the following question: to what extent did the public opinion become effective on the foreign policy-making of Great Britain before the war? <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=British%20press" title="British press">British press</a>, <a href="https://publications.waset.org/abstracts/search?q=Crimean%20war" title=" Crimean war"> Crimean war</a>, <a href="https://publications.waset.org/abstracts/search?q=Great%20Britain" title=" Great Britain"> Great Britain</a>, <a href="https://publications.waset.org/abstracts/search?q=public%20opinion" title=" public opinion"> public opinion</a> </p> <a href="https://publications.waset.org/abstracts/95464/the-role-of-british-public-opinion-in-the-process-of-the-great-britains-involvement-in-the-crimean-war" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/95464.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">169</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">592</span> Self-Regulation in Composition Writing: The Case of Variation of Self-Regulation Dispositions in Opinion Essay and Technical Writing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dave%20Kenneth%20Tayao%20Cayado">Dave Kenneth Tayao Cayado</a>, <a href="https://publications.waset.org/abstracts/search?q=Carlo%20P.%20Magno"> Carlo P. Magno</a>, <a href="https://publications.waset.org/abstracts/search?q=Venice%20Cristine%20Dangaran"> Venice Cristine Dangaran</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The present study determines whether there will be differences in the self-regulation dispositions that learners utilize when writing different types of composition. There were 7 self-regulation factors that were used to develop a scale in this study such as memory strategy, goal setting, self-evaluation, seeking assistance, learning responsibility, environmental structuring, and organizing. The scale was made specific for writing a composition. The researcher-made scale was administered to 150 participants who all came from a university in the Philippines. The participants were asked to write two compositions namely opinion essay and research introduction/review of related literature. The zero-order correlation revealed that all the factors of self-regulation are correlated with one another. However, only seeking assistance and self-evaluation are correlated with opinion essay and technical writing is not correlated to any of the self-regulation factors. However, when path analysis was used, it was shown that seeking assistance can predict opinion essay scores whereas memory strategy, self-evaluation, and organizing can predict technical writing scores. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=opinion%20essay" title="opinion essay">opinion essay</a>, <a href="https://publications.waset.org/abstracts/search?q=self-regulation" title=" self-regulation"> self-regulation</a>, <a href="https://publications.waset.org/abstracts/search?q=technical%20writing" title=" technical writing"> technical writing</a>, <a href="https://publications.waset.org/abstracts/search?q=writing%20skills" title=" writing skills"> writing skills</a> </p> <a href="https://publications.waset.org/abstracts/98869/self-regulation-in-composition-writing-the-case-of-variation-of-self-regulation-dispositions-in-opinion-essay-and-technical-writing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/98869.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">181</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">591</span> Developing A Third Degree Of Freedom For Opinion Dynamics Models Using Scales</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dino%20Carpentras">Dino Carpentras</a>, <a href="https://publications.waset.org/abstracts/search?q=Alejandro%20Dinkelberg"> Alejandro Dinkelberg</a>, <a href="https://publications.waset.org/abstracts/search?q=Michael%20Quayle"> Michael Quayle</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Opinion dynamics models use an agent-based modeling approach to model people’s opinions. Model's properties are usually explored by testing the two 'degrees of freedom': the interaction rule and the network topology. The latter defines the connection, and thus the possible interaction, among agents. The interaction rule, instead, determines how agents select each other and update their own opinion. Here we show the existence of the third degree of freedom. This can be used for turning one model into each other or to change the model’s output up to 100% of its initial value. Opinion dynamics models represent the evolution of real-world opinions parsimoniously. Thus, it is fundamental to know how real-world opinion (e.g., supporting a candidate) could be turned into a number. Specifically, we want to know if, by choosing a different opinion-to-number transformation, the model’s dynamics would be preserved. This transformation is typically not addressed in opinion dynamics literature. However, it has already been studied in psychometrics, a branch of psychology. In this field, real-world opinions are converted into numbers using abstract objects called 'scales.' These scales can be converted one into the other, in the same way as we convert meters to feet. Thus, in our work, we analyze how this scale transformation may affect opinion dynamics models. We perform our analysis both using mathematical modeling and validating it via agent-based simulations. To distinguish between scale transformation and measurement error, we first analyze the case of perfect scales (i.e., no error or noise). Here we show that a scale transformation may change the model’s dynamics up to a qualitative level. Meaning that a researcher may reach a totally different conclusion, even using the same dataset just by slightly changing the way data are pre-processed. Indeed, we quantify that this effect may alter the model’s output by 100%. By using two models from the standard literature, we show that a scale transformation can transform one model into the other. This transformation is exact, and it holds for every result. Lastly, we also test the case of using real-world data (i.e., finite precision). We perform this test using a 7-points Likert scale, showing how even a small scale change may result in different predictions or a number of opinion clusters. Because of this, we think that scale transformation should be considered as a third-degree of freedom for opinion dynamics. Indeed, its properties have a strong impact both on theoretical models and for their application to real-world data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=degrees%20of%20freedom" title="degrees of freedom">degrees of freedom</a>, <a href="https://publications.waset.org/abstracts/search?q=empirical%20validation" title=" empirical validation"> empirical validation</a>, <a href="https://publications.waset.org/abstracts/search?q=opinion%20scale" title=" opinion scale"> opinion scale</a>, <a href="https://publications.waset.org/abstracts/search?q=opinion%20dynamics" title=" opinion dynamics"> opinion dynamics</a> </p> <a href="https://publications.waset.org/abstracts/132446/developing-a-third-degree-of-freedom-for-opinion-dynamics-models-using-scales" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/132446.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">155</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">590</span> Public Opinion Polls as an Instrument of Propaganda of the Invasion of Ukraine</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Daria%20Lozovskaia">Daria Lozovskaia</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper is focused on the news coverage of public opinion polls about Russian full-scale invasion of Ukraine in Russian state-controlled media. After the announcement of the start of the so-called “Special Military Operation” on February 24, 2022, the number of publications of the results of public opinion polls increased many times over, and the poll numbers began to be discussed on social media and in the Kremlin’s official informational agenda. Headlines like "72 Percent of Russian Citizens Support the Operation " or "Russians Believe in Victory in the Special Military Operation" have become prominent parts of Russian state propaganda news stories and newspapers. At the same time, public opinion in Russia, as a concept and model, differs from the generally accepted democratic concept and has its own specifics. As a result, public opinion polls and their results, especially after February 24, have a number of features in the form of the dominance of the discourse of political elites in the media, which leads to a decrease in public awareness, the prevalence of the effect of joining the majority and a high number of non-responses due to fear of reprisals. The aim of this study was to determine the role of public opinion polls in the system of Russian war propaganda in Ukraine. For this purpose, were selected publications of the Russian media, the agenda of which corresponds to the official information policy of the Russian authorities. First, using frame analysis for the categories "Explicit trust", "Implicit trust", "Implicit distrust" and "Explicit distrust", provided by Irina Dusakova, the broadcast level of trust in the data of public opinion polls was determined. The results of this phase of the study showed that the Russian media broadcast an absolute level of confidence in public opinion polls regarding support for the war in Ukraine. The second stage of the study was the content analysis of publications. The categories of this analysis were derived from Anna Morelli's 10 Principles of Military Propaganda and Haavard Koppang's Definition of Propaganda to determine the purposes of the use of public opinion polls by Russian propaganda. The results of the study not only confirmed the widespread hypothesis that public opinion polls in Russia are used as a tool of state propaganda, but also showed that their purpose is to demonstrate the consolidation of society in support of the war and President Vladimir Putin. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=propaganda" title="propaganda">propaganda</a>, <a href="https://publications.waset.org/abstracts/search?q=public%20opinion" title=" public opinion"> public opinion</a>, <a href="https://publications.waset.org/abstracts/search?q=public%20opinion%20polls" title=" public opinion polls"> public opinion polls</a>, <a href="https://publications.waset.org/abstracts/search?q=Russian%20studies" title=" Russian studies"> Russian studies</a> </p> <a href="https://publications.waset.org/abstracts/170829/public-opinion-polls-as-an-instrument-of-propaganda-of-the-invasion-of-ukraine" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/170829.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">76</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">589</span> The Role of Online Deliberation on Citizens’ Attitudes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amalia%20Triantafillidoy">Amalia Triantafillidoy</a>, <a href="https://publications.waset.org/abstracts/search?q=Georgios%20Lappas"> Georgios Lappas</a>, <a href="https://publications.waset.org/abstracts/search?q=Prodromos%20Yannas"> Prodromos Yannas</a>, <a href="https://publications.waset.org/abstracts/search?q=Alexandros%20Kleftodimos"> Alexandros Kleftodimos</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper an experiment was conducted to assess the impact of online deliberation on citizens’ attitudes. Specifically, this research compared pre and post deliberation opinions of participants who deliberated online via an asynchronous platform regarding the issue of political opinion polls. Results indicate that online deliberation had a positive effect on citizens’ attitudes since it was found that following deliberation participants changed their views regarding public opinion polls. Specifically, online deliberation improved discussants perceptions regarding the reliability of polls, while suppressing their negative views about the misuse of polls by media, polling organizations and politicians. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=attitudes%20change" title="attitudes change">attitudes change</a>, <a href="https://publications.waset.org/abstracts/search?q=e-democracy" title=" e-democracy"> e-democracy</a>, <a href="https://publications.waset.org/abstracts/search?q=online%20deliberation" title=" online deliberation"> online deliberation</a>, <a href="https://publications.waset.org/abstracts/search?q=opinion%20polls" title=" opinion polls"> opinion polls</a> </p> <a href="https://publications.waset.org/abstracts/32706/the-role-of-online-deliberation-on-citizens-attitudes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32706.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">320</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">588</span> Social Media and Political Expression: Examining Affordances and Spiral of Silence Theories</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mustafa%20Oz">Mustafa Oz</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study compares how do people express their opinions on the Facebook versus on Twitter. It was sought to understand whether people were more willing to express their opinions on some social media channels than others. It was assumed that fear of isolation and affordances may influence users’ opinion expression behaviors on social media websites. Thus two most popular social media websites, Twitter and Facebook, were compared. This study aims to provide the comprehensive understanding of political expression on social media platforms. An online survey (N=535) was conducted to understand respondents’ opinion expression behaviors. Overall, the results suggested that people were more likely to express their opinion on Twitter than Facebook when they think the majority does not support their opinion. The study concluded that people operate differently on Facebook versus Twitter. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=social%20media" title="social media">social media</a>, <a href="https://publications.waset.org/abstracts/search?q=spiral%20of%20silence" title=" spiral of silence"> spiral of silence</a>, <a href="https://publications.waset.org/abstracts/search?q=affordances" title=" affordances"> affordances</a>, <a href="https://publications.waset.org/abstracts/search?q=political%20expression" title=" political expression"> political expression</a> </p> <a href="https://publications.waset.org/abstracts/94455/social-media-and-political-expression-examining-affordances-and-spiral-of-silence-theories" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/94455.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">138</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">587</span> Opinion Mining and Sentiment Analysis on DEFT</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Najiba%20Ouled%20Omar">Najiba Ouled Omar</a>, <a href="https://publications.waset.org/abstracts/search?q=Azza%20Harbaoui"> Azza Harbaoui</a>, <a href="https://publications.waset.org/abstracts/search?q=Henda%20Ben%20Ghezala"> Henda Ben Ghezala</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Current research practices sentiment analysis with a focus on social networks, DEfi Fouille de Texte (DEFT) (Text Mining Challenge) evaluation campaign focuses on opinion mining and sentiment analysis on social networks, especially social network Twitter. It aims to confront the systems produced by several teams from public and private research laboratories. DEFT offers participants the opportunity to work on regularly renewed themes and proposes to work on opinion mining in several editions. The purpose of this article is to scrutinize and analyze the works relating to opinions mining and sentiment analysis in the Twitter social network realized by DEFT. It examines the tasks proposed by the organizers of the challenge and the methods used by the participants. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=opinion%20mining" title="opinion mining">opinion mining</a>, <a href="https://publications.waset.org/abstracts/search?q=sentiment%20analysis" title=" sentiment analysis"> sentiment analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=emotion" title=" emotion"> emotion</a>, <a href="https://publications.waset.org/abstracts/search?q=polarity" title=" polarity"> polarity</a>, <a href="https://publications.waset.org/abstracts/search?q=annotation" title=" annotation"> annotation</a>, <a href="https://publications.waset.org/abstracts/search?q=OSEE" title=" OSEE"> OSEE</a>, <a href="https://publications.waset.org/abstracts/search?q=figurative%20language" title=" figurative language"> figurative language</a>, <a href="https://publications.waset.org/abstracts/search?q=DEFT" title=" DEFT"> DEFT</a>, <a href="https://publications.waset.org/abstracts/search?q=Twitter" title=" Twitter"> Twitter</a>, <a href="https://publications.waset.org/abstracts/search?q=Tweet" title=" Tweet"> Tweet</a> </p> <a href="https://publications.waset.org/abstracts/130709/opinion-mining-and-sentiment-analysis-on-deft" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/130709.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">138</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">586</span> Adding a Degree of Freedom to Opinion Dynamics Models </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dino%20Carpentras">Dino Carpentras</a>, <a href="https://publications.waset.org/abstracts/search?q=Alejandro%20Dinkelberg"> Alejandro Dinkelberg</a>, <a href="https://publications.waset.org/abstracts/search?q=Michael%20Quayle"> Michael Quayle</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Within agent-based modeling, opinion dynamics is the field that focuses on modeling people's opinions. In this prolific field, most of the literature is dedicated to the exploration of the two 'degrees of freedom' and how they impact the model’s properties (e.g., the average final opinion, the number of final clusters, etc.). These degrees of freedom are (1) the interaction rule, which determines how agents update their own opinion, and (2) the network topology, which defines the possible interaction among agents. In this work, we show that the third degree of freedom exists. This can be used to change a model's output up to 100% of its initial value or to transform two models (both from the literature) into each other. Since opinion dynamics models are representations of the real world, it is fundamental to understand how people’s opinions can be measured. Even for abstract models (i.e., not intended for the fitting of real-world data), it is important to understand if the way of numerically representing opinions is unique; and, if this is not the case, how the model dynamics would change by using different representations. The process of measuring opinions is non-trivial as it requires transforming real-world opinion (e.g., supporting most of the liberal ideals) to a number. Such a process is usually not discussed in opinion dynamics literature, but it has been intensively studied in a subfield of psychology called psychometrics. In psychometrics, opinion scales can be converted into each other, similarly to how meters can be converted to feet. Indeed, psychometrics routinely uses both linear and non-linear transformations of opinion scales. Here, we analyze how this transformation affects opinion dynamics models. We analyze this effect by using mathematical modeling and then validating our analysis with agent-based simulations. Firstly, we study the case of perfect scales. In this way, we show that scale transformations affect the model’s dynamics up to a qualitative level. This means that if two researchers use the same opinion dynamics model and even the same dataset, they could make totally different predictions just because they followed different renormalization processes. A similar situation appears if two different scales are used to measure opinions even on the same population. This effect may be as strong as providing an uncertainty of 100% on the simulation’s output (i.e., all results are possible). Still, by using perfect scales, we show that scales transformations can be used to perfectly transform one model to another. We test this using two models from the standard literature. Finally, we test the effect of scale transformation in the case of finite precision using a 7-points Likert scale. In this way, we show how a relatively small-scale transformation introduces both changes at the qualitative level (i.e., the most shared opinion at the end of the simulation) and in the number of opinion clusters. Thus, scale transformation appears to be a third degree of freedom of opinion dynamics models. This result deeply impacts both theoretical research on models' properties and on the application of models on real-world data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=degrees%20of%20freedom" title="degrees of freedom">degrees of freedom</a>, <a href="https://publications.waset.org/abstracts/search?q=empirical%20validation" title=" empirical validation"> empirical validation</a>, <a href="https://publications.waset.org/abstracts/search?q=opinion%20scale" title=" opinion scale"> opinion scale</a>, <a href="https://publications.waset.org/abstracts/search?q=opinion%20dynamics" title=" opinion dynamics"> opinion dynamics</a> </p> <a href="https://publications.waset.org/abstracts/132461/adding-a-degree-of-freedom-to-opinion-dynamics-models" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/132461.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">119</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">585</span> Validating the Micro-Dynamic Rule in Opinion Dynamics Models</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dino%20Carpentras">Dino Carpentras</a>, <a href="https://publications.waset.org/abstracts/search?q=Paul%20Maher"> Paul Maher</a>, <a href="https://publications.waset.org/abstracts/search?q=Caoimhe%20O%27Reilly"> Caoimhe O'Reilly</a>, <a href="https://publications.waset.org/abstracts/search?q=Michael%20Quayle"> Michael Quayle</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Opinion dynamics is dedicated to modeling the dynamic evolution of people's opinions. Models in this field are based on a micro-dynamic rule, which determines how people update their opinion when interacting. Despite the high number of new models (many of them based on new rules), little research has been dedicated to experimentally validate the rule. A few studies started bridging this literature gap by experimentally testing the rule. However, in these studies, participants are forced to express their opinion as a number instead of using natural language. Furthermore, some of these studies average data from experimental questions, without testing if differences existed between them. Indeed, it is possible that different topics could show different dynamics. For example, people may be more prone to accepting someone's else opinion regarding less polarized topics. In this work, we collected data from 200 participants on 5 unpolarized topics. Participants expressed their opinions using natural language ('agree' or 'disagree') and the certainty of their answer, expressed as a number between 1 and 10. To keep the interaction based on natural language, certainty was not shown to other participants. We then showed to the participant someone else's opinion on the same topic and, after a distraction task, we repeated the measurement. To produce data compatible with standard opinion dynamics models, we multiplied the opinion (encoded as agree=1 and disagree=-1) with the certainty to obtain a single 'continuous opinion' ranging from -10 to 10. By analyzing the topics independently, we observed that each one shows a different initial distribution. However, the dynamics (i.e., the properties of the opinion change) appear to be similar between all topics. This suggested that the same micro-dynamic rule could be applied to unpolarized topics. Another important result is that participants that change opinion tend to maintain similar levels of certainty. This is in contrast with typical micro-dynamics rules, where agents move to an average point instead of directly jumping to the opposite continuous opinion. As expected, in the data, we also observed the effect of social influence. This means that exposing someone with 'agree' or 'disagree' influenced participants to respectively higher or lower values of the continuous opinion. However, we also observed random variations whose effect was stronger than the social influence’s one. We even observed cases of people that changed from 'agree' to 'disagree,' even if they were exposed to 'agree.' This phenomenon is surprising, as, in the standard literature, the strength of the noise is usually smaller than the strength of social influence. Finally, we also built an opinion dynamics model from the data. The model was able to explain more than 80% of the data variance. Furthermore, by iterating the model, we were able to produce polarized states even starting from an unpolarized population. This experimental approach offers a way to test the micro-dynamic rule. This also allows us to build models which are directly grounded on experimental results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=experimental%20validation" title="experimental validation">experimental validation</a>, <a href="https://publications.waset.org/abstracts/search?q=micro-dynamic%20rule" title=" micro-dynamic rule"> micro-dynamic rule</a>, <a href="https://publications.waset.org/abstracts/search?q=opinion%20dynamics" title=" opinion dynamics"> opinion dynamics</a>, <a href="https://publications.waset.org/abstracts/search?q=update%20rule" title=" update rule"> update rule</a> </p> <a href="https://publications.waset.org/abstracts/132452/validating-the-micro-dynamic-rule-in-opinion-dynamics-models" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/132452.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">161</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">584</span> Effect of Internal Control Weaknesses and Audit Opinion to the Findings of State Losses</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wiji%20Wijaya">Wiji Wijaya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this research is to examine the effect of internal control weaknesses and audit opinion on the state’s loss findings of audit compliance to the regulation in public sector. The samples of this research consisted of 175 local government financial statements in the area of Central Java Province at 2009 until 2013. Area sampling design was used to select the financial statements. This study using quantitative descriptive statistical analysis and regression was run for data analysis and hypothesis examination. Result of this study indicated that internal control weaknesses and audit opinion contributes a positive influence which is significant to the state’s loss findings of audit compliance to the regulation. The internal control weaknesses that affect the state's loss finding are weakness control system of accounting and reporting with the value of the critical ratio 0.010 p 2.613 ; weakness budget execution control system with critical ratio value of 3.421 p 0.001 and weaknesses internal control structure with critical ratio value of 2.246 p 0.026 . While the audit opinion with a critical ratio value of 4.401 p 0.000. The implications of this research so that policy makers at the local government should give more attention to the implementation and improvement of internal control system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=audit%20compliance%20findings" title="audit compliance findings">audit compliance findings</a>, <a href="https://publications.waset.org/abstracts/search?q=state%E2%80%99s%20loss" title=" state’s loss"> state’s loss</a>, <a href="https://publications.waset.org/abstracts/search?q=audit%20opinion" title=" audit opinion"> audit opinion</a>, <a href="https://publications.waset.org/abstracts/search?q=internal%20control" title=" internal control"> internal control</a>, <a href="https://publications.waset.org/abstracts/search?q=local%20government" title=" local government"> local government</a> </p> <a href="https://publications.waset.org/abstracts/32766/effect-of-internal-control-weaknesses-and-audit-opinion-to-the-findings-of-state-losses" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32766.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">379</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">583</span> Analyzing Semantic Feature Using Multiple Information Sources for Reviews Summarization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yu%20Hung%20Chiang">Yu Hung Chiang</a>, <a href="https://publications.waset.org/abstracts/search?q=Hei%20Chia%20Wang"> Hei Chia Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nowadays, tourism has become a part of life. Before reserving hotels, customers need some information, which the most important source is online reviews, about hotels to help them make decisions. Due to the dramatic growing of online reviews, it is impossible for tourists to read all reviews manually. Therefore, designing an automatic review analysis system, which summarizes reviews, is necessary for them. The main purpose of the system is to understand the opinion of reviews, which may be positive or negative. In other words, the system would analyze whether the customers who visited the hotel like it or not. Using sentiment analysis methods will help the system achieve the purpose. In sentiment analysis methods, the targets of opinion (here they are called the feature) should be recognized to clarify the polarity of the opinion because polarity of the opinion may be ambiguous. Hence, the study proposes an unsupervised method using Part-Of-Speech pattern and multi-lexicons sentiment analysis to summarize all reviews. We expect this method can help customers search what they want information as well as make decisions efficiently. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=text%20mining" title="text mining">text mining</a>, <a href="https://publications.waset.org/abstracts/search?q=sentiment%20analysis" title=" sentiment analysis"> sentiment analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=product%20feature%20extraction" title=" product feature extraction"> product feature extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-lexicons" title=" multi-lexicons"> multi-lexicons</a> </p> <a href="https://publications.waset.org/abstracts/41662/analyzing-semantic-feature-using-multiple-information-sources-for-reviews-summarization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/41662.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">331</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">582</span> Application of Medical Information System for Image-Based Second Opinion Consultations–Georgian Experience</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kldiashvili%20Ekaterina">Kldiashvili Ekaterina</a>, <a href="https://publications.waset.org/abstracts/search?q=Burduli%20Archil"> Burduli Archil</a>, <a href="https://publications.waset.org/abstracts/search?q=Ghortlishvili%20Gocha"> Ghortlishvili Gocha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction – Medical information system (MIS) is at the heart of information technology (IT) implementation policies in healthcare systems around the world. Different architecture and application models of MIS are developed. Despite of obvious advantages and benefits, application of MIS in everyday practice is slow. Objective - On the background of analysis of the existing models of MIS in Georgia has been created a multi-user web-based approach. This presentation will present the architecture of the system and its application for image based second opinion consultations. Methods – The MIS has been created with .Net technology and SQL database architecture. It realizes local (intranet) and remote (internet) access to the system and management of databases. The MIS is fully operational approach, which is successfully used for medical data registration and management as well as for creation, editing and maintenance of the electronic medical records (EMR). Five hundred Georgian language electronic medical records from the cervical screening activity illustrated by images were selected for second opinion consultations. Results – The primary goal of the MIS is patient management. However, the system can be successfully applied for image based second opinion consultations. Discussion – The ideal of healthcare in the information age must be to create a situation where healthcare professionals spend more time creating knowledge from medical information and less time managing medical information. The application of easily available and adaptable technology and improvement of the infrastructure conditions is the basis for eHealth applications. Conclusion - The MIS is perspective and actual technology solution. It can be successfully and effectively used for image based second opinion consultations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=digital%20images" title="digital images">digital images</a>, <a href="https://publications.waset.org/abstracts/search?q=medical%20information%20system" title=" medical information system"> medical information system</a>, <a href="https://publications.waset.org/abstracts/search?q=second%20opinion%20consultations" title=" second opinion consultations"> second opinion consultations</a>, <a href="https://publications.waset.org/abstracts/search?q=electronic%20medical%20record" title=" electronic medical record"> electronic medical record</a> </p> <a href="https://publications.waset.org/abstracts/39945/application-of-medical-information-system-for-image-based-second-opinion-consultations-georgian-experience" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/39945.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">450</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">581</span> Building an Opinion Dynamics Model from Experimental Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dino%20Carpentras">Dino Carpentras</a>, <a href="https://publications.waset.org/abstracts/search?q=Paul%20J.%20Maher"> Paul J. Maher</a>, <a href="https://publications.waset.org/abstracts/search?q=Caoimhe%20O%27Reilly"> Caoimhe O'Reilly</a>, <a href="https://publications.waset.org/abstracts/search?q=Michael%20Quayle"> Michael Quayle</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Opinion dynamics is a sub-field of agent-based modeling that focuses on people’s opinions and their evolutions over time. Despite the rapid increase in the number of publications in this field, it is still not clear how to apply these models to real-world scenarios. Indeed, there is no agreement on how people update their opinion while interacting. Furthermore, it is not clear if different topics will show the same dynamics (e.g., more polarized topics may behave differently). These problems are mostly due to the lack of experimental validation of the models. Some previous studies started bridging this gap in the literature by directly measuring people’s opinions before and after the interaction. However, these experiments force people to express their opinion as a number instead of using natural language (and then, eventually, encoding it as numbers). This is not the way people normally interact, and it may strongly alter the measured dynamics. Another limitation of these studies is that they usually average all the topics together, without checking if different topics may show different dynamics. In our work, we collected data from 200 participants on 5 unpolarized topics. Participants expressed their opinions in natural language (“agree” or “disagree”). We also measured the certainty of their answer, expressed as a number between 1 and 10. However, this value was not shown to other participants to keep the interaction based on natural language. We then showed the opinion (and not the certainty) of another participant and, after a distraction task, we repeated the measurement. To make the data compatible with opinion dynamics models, we multiplied opinion and certainty to obtain a new parameter (here called “continuous opinion”) ranging from -10 to +10 (using agree=1 and disagree=-1). We firstly checked the 5 topics individually, finding that all of them behaved in a similar way despite having different initial opinions distributions. This suggested that the same model could be applied for different unpolarized topics. We also observed that people tend to maintain similar levels of certainty, even when they changed their opinion. This is a strong violation of what is suggested from common models, where people starting at, for example, +8, will first move towards 0 instead of directly jumping to -8. We also observed social influence, meaning that people exposed with “agree” were more likely to move to higher levels of continuous opinion, while people exposed with “disagree” were more likely to move to lower levels. However, we also observed that the effect of influence was smaller than the effect of random fluctuations. Also, this configuration is different from standard models, where noise, when present, is usually much smaller than the effect of social influence. Starting from this, we built an opinion dynamics model that explains more than 80% of data variance. This model was also able to show the natural conversion of polarization from unpolarized states. This experimental approach offers a new way to build models grounded on experimental data. Furthermore, the model offers new insight into the fundamental terms of opinion dynamics models. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=experimental%20validation" title="experimental validation">experimental validation</a>, <a href="https://publications.waset.org/abstracts/search?q=micro-dynamics%20rule" title=" micro-dynamics rule"> micro-dynamics rule</a>, <a href="https://publications.waset.org/abstracts/search?q=opinion%20dynamics" title=" opinion dynamics"> opinion dynamics</a>, <a href="https://publications.waset.org/abstracts/search?q=update%20rule" title=" update rule"> update rule</a> </p> <a href="https://publications.waset.org/abstracts/132465/building-an-opinion-dynamics-model-from-experimental-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/132465.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">109</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">580</span> The Relationship between Top Management Replacement and Risk, Sale and Cash Volatilities with Respect to Unqualified Audit Opinion</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mehdi%20Dasineh">Mehdi Dasineh</a>, <a href="https://publications.waset.org/abstracts/search?q=Yadollah%20Tariverdi"> Yadollah Tariverdi</a>, <a href="https://publications.waset.org/abstracts/search?q=Marzieh%20H.%20Takhti"> Marzieh H. Takhti</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper investigated the relationship between top management turnover with risk volatility, sale volatility and fluctuations in the company's cash depending on the unqualified audit report in Tehran Stock Exchange (TSE). In this study, we examined 104 firms over the period 2009-2014 which were selected from (TSE). There was 624 observed year-company data in this research. Hypotheses of this research have been evaluated by using regression tests for example F-statistical and Durbin-Watson. Based on our sample we found significant relationship between top management replacement and risk volatility, sale Volatility and cash volatility with tendency unqualified audit opinion. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=top%20management%20replacement" title="top management replacement">top management replacement</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20volatility" title=" risk volatility"> risk volatility</a>, <a href="https://publications.waset.org/abstracts/search?q=sale%20volatility" title=" sale volatility"> sale volatility</a>, <a href="https://publications.waset.org/abstracts/search?q=cash%20volatility" title=" cash volatility"> cash volatility</a>, <a href="https://publications.waset.org/abstracts/search?q=unqualified%20audit%20opinion" title=" unqualified audit opinion"> unqualified audit opinion</a> </p> <a href="https://publications.waset.org/abstracts/45022/the-relationship-between-top-management-replacement-and-risk-sale-and-cash-volatilities-with-respect-to-unqualified-audit-opinion" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/45022.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">282</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">579</span> Credible Autopsy Report for Investigators and Judiciary</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sudhir%20K.%20Gupta">Sudhir K. Gupta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: When a forensic doctor determines that a suspicious death is a suicide, homicide, or accident, the decision virtually becomes incontestable by the investigating police officer, and it becomes an issue whether the medical opinion was created with necessary checks and balances on the other probabilities of the case. It is suggested that the opinion of Forensic Medical experts is conventional, mutable, and shifting from one expert to another. The determination of suicide, accident, or homicide is mandatorily required, which is the Gold Standard for conducting death investigations. Forensic investigations serve many audiences, but the court is by far the most critical. The likely questions on direct and cross-examination determine how forensic doctors gather and handle evidence and what conclusions they reach. Methodology: The author interacted with the investigative authority, and a crime scene visit was also done along with the perusal of the Postmortem report, subsequent opinion, and crime scene photographs and statements of the witness and accused. Further analysis of all relevant scientific documents and opinions of other forensic doctors, forensic scientists, and ballistic experts involved in these cases was done to arrive at an opinion with scientific justification. Findings: The opinions arrived at by the author and how they helped the judiciary in delivering justice in these cases have been discussed in this article. This can help the readers to understand the process involved in formulating a credible forensic medical expert opinion for investigators and the judiciary. Conclusion: A criminal case might be won or lost over doubt cast on the chain of custody. Medically trained forensic doctors, therefore, learn to practice their profession in legally appropriate ways, and opinions must be based on medical justifications with credible references. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=forensic%20doctor" title="forensic doctor">forensic doctor</a>, <a href="https://publications.waset.org/abstracts/search?q=professional%20credibility" title=" professional credibility"> professional credibility</a>, <a href="https://publications.waset.org/abstracts/search?q=investigation" title=" investigation"> investigation</a>, <a href="https://publications.waset.org/abstracts/search?q=expert%20opinion" title=" expert opinion"> expert opinion</a> </p> <a href="https://publications.waset.org/abstracts/156415/credible-autopsy-report-for-investigators-and-judiciary" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/156415.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">76</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">578</span> Shopping Behaviour of Ethnic Groups in Indian Culture</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hari%20Govindmishra">Hari Govindmishra</a>, <a href="https://publications.waset.org/abstracts/search?q=Sarabjot%20Singh"> Sarabjot Singh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study offers an approach to understand different determinants of shopping behaviour, and the effect of ethnicity on shopping behaviour. The results reveal that the Indian culture is composite in nature and because of which there is no difference between different ethnic groups in their preference for three shopping behaviour determinants, viz., status consciousness, need for touch and companion opinion. The research model investigates the relevant relationship between these constructs by using a structural equation modelling approach, which reveals that status consciousness, need for touch and companion opinion are significant determinants of shopping behaviour. Consequently, the shopping behaviour managers have to understand the collective nature of Indian ethnic consumers in their shopping behaviour. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ethnic%20groups" title="ethnic groups">ethnic groups</a>, <a href="https://publications.waset.org/abstracts/search?q=status%20consciousness" title=" status consciousness"> status consciousness</a>, <a href="https://publications.waset.org/abstracts/search?q=companion%20opinion" title=" companion opinion"> companion opinion</a>, <a href="https://publications.waset.org/abstracts/search?q=need%20for%20touch" title=" need for touch"> need for touch</a>, <a href="https://publications.waset.org/abstracts/search?q=shopping%20behaviour" title=" shopping behaviour"> shopping behaviour</a> </p> <a href="https://publications.waset.org/abstracts/42476/shopping-behaviour-of-ethnic-groups-in-indian-culture" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42476.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">451</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">577</span> Focus-Latent Dirichlet Allocation for Aspect-Level Opinion Mining</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohsen%20Farhadloo">Mohsen Farhadloo</a>, <a href="https://publications.waset.org/abstracts/search?q=Majid%20Farhadloo"> Majid Farhadloo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Aspect-level opinion mining that aims at discovering aspects (aspect identification) and their corresponding ratings (sentiment identification) from customer reviews have increasingly attracted attention of researchers and practitioners as it provides valuable insights about products/services from customer's points of view. Instead of addressing aspect identification and sentiment identification in two separate steps, it is possible to simultaneously identify both aspects and sentiments. In recent years many graphical models based on Latent Dirichlet Allocation (LDA) have been proposed to solve both aspect and sentiment identifications in a single step. Although LDA models have been effective tools for the statistical analysis of document collections, they also have shortcomings in addressing some unique characteristics of opinion mining. Our goal in this paper is to address one of the limitations of topic models to date; that is, they fail to directly model the associations among topics. Indeed in many text corpora, it is natural to expect that subsets of the latent topics have higher probabilities. We propose a probabilistic graphical model called focus-LDA, to better capture the associations among topics when applied to aspect-level opinion mining. Our experiments on real-life data sets demonstrate the improved effectiveness of the focus-LDA model in terms of the accuracy of the predictive distributions over held out documents. Furthermore, we demonstrate qualitatively that the focus-LDA topic model provides a natural way of visualizing and exploring unstructured collection of textual data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aspect-level%20opinion%20mining" title="aspect-level opinion mining">aspect-level opinion mining</a>, <a href="https://publications.waset.org/abstracts/search?q=document%20modeling" title=" document modeling"> document modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=Latent%20Dirichlet%20Allocation" title=" Latent Dirichlet Allocation"> Latent Dirichlet Allocation</a>, <a href="https://publications.waset.org/abstracts/search?q=LDA" title=" LDA"> LDA</a>, <a href="https://publications.waset.org/abstracts/search?q=sentiment%20analysis" title=" sentiment analysis"> sentiment analysis</a> </p> <a href="https://publications.waset.org/abstracts/121483/focus-latent-dirichlet-allocation-for-aspect-level-opinion-mining" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/121483.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">94</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">576</span> Political Agency of Women Voters in India: Dependent or Independent Voters</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Priyanka%20Sharma">Priyanka Sharma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The women voter turnout in India is increasing. The rising female voter turnout is explained in part by men intimidating women in the household to vote. Women are more likely than men to be guided before voting. What is perhaps more significant is that the gender gap has shrunk significantly over the years. However, there are layers and categories of women voters in India. Some women are much more likely than the average woman to follow advice. Against this backdrop, this paper investigates the variation among women voters during the national elections of 2019 in India. The central question of this research paper is whether or not the development of greater political opinion among women would offset guided voting and allow them to emerge as more independent voters. So the independent variable of the study is Indian women’s opinion on politics, and the dependent variable is their voting behavior. The methodology used in this paper is both quantitative and qualitative. This study investigated and examined Lokniti’s election survey data. The sample size used in this survey is 11568. The analysis of this study has revealed that there is a considerable impact of women having a political opinion on their voting behavior. The Bivariate analysis of the variables states that 83% of Indian women who have opinions on political issues do not seek advice while going to vote. This proves the hypothesis of this paper that women with an opinion on politics are more likely to be independent voters. To check the statistical significance of the finding, a chi-square test was done and the p-value found is 0.009737, which shows it is statistically significant. Furthermore, a regression test has been done by controlling certain variables like age, educational qualification, caste, and financial position of the women to probe the influence on the dependent variable. The findings provide worthwhile insights into the relationship between these control variables and the women voting behavior in India. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dependent%20voter" title="dependent voter">dependent voter</a>, <a href="https://publications.waset.org/abstracts/search?q=independent%20voter" title=" independent voter"> independent voter</a>, <a href="https://publications.waset.org/abstracts/search?q=political%20opinion" title=" political opinion"> political opinion</a>, <a href="https://publications.waset.org/abstracts/search?q=voting%20behavior" title=" voting behavior"> voting behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=women%20voter" title=" women voter"> women voter</a> </p> <a href="https://publications.waset.org/abstracts/153742/political-agency-of-women-voters-in-india-dependent-or-independent-voters" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153742.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">82</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=opinion&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=opinion&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=opinion&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=opinion&page=5">5</a></li> <li class="page-item"><a class="page-link" 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