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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="sentimental analysis"> <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> 27831</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: sentimental analysis</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27831</span> Twitter Sentiment Analysis during the Lockdown on New-Zealand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Smah%20Almotiri">Smah Almotiri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> One of the most common fields of natural language processing (NLP) is sentimental analysis. The inferred feeling in the text can be successfully mined for various events using sentiment analysis. Twitter is viewed as a reliable data point for sentimental analytics studies since people are using social media to receive and exchange different types of data on a broad scale during the COVID-19 epidemic. The processing of such data may aid in making critical decisions on how to keep the situation under control. The aim of this research is to look at how sentimental states differed in a single geographic region during the lockdown at two different times.1162 tweets were analyzed related to the COVID-19 pandemic lockdown using keywords hashtags (lockdown, COVID-19) for the first sample tweets were from March 23, 2020, until April 23, 2020, and the second sample for the following year was from March 1, 2020, until April 4, 2020. Natural language processing (NLP), which is a form of Artificial intelligence, was used for this research to calculate the sentiment value of all of the tweets by using AFINN Lexicon sentiment analysis method. The findings revealed that the sentimental condition in both different times during the region's lockdown was positive in the samples of this study, which are unique to the specific geographical area of New Zealand. This research suggests applying machine learning sentimental methods such as Crystal Feel and extending the size of the sample tweet by using multiple tweets over a longer period of time. <p class="card-text"><strong>Keywords:</strong> <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=Twitter%20analysis" title=" Twitter analysis"> Twitter analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=lockdown" title=" lockdown"> lockdown</a>, <a href="https://publications.waset.org/abstracts/search?q=Covid-19" title=" Covid-19"> Covid-19</a>, <a href="https://publications.waset.org/abstracts/search?q=AFINN" title=" AFINN"> AFINN</a>, <a href="https://publications.waset.org/abstracts/search?q=NodeJS" title=" NodeJS"> NodeJS</a> </p> <a href="https://publications.waset.org/abstracts/143752/twitter-sentiment-analysis-during-the-lockdown-on-new-zealand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/143752.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">190</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">27830</span> A Case Study of Ontology-Based Sentiment Analysis for Fan Pages</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=C.%20-L.%20Huang">C. -L. Huang</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20-H.%20Ho"> J. -H. Ho</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Social media has become more and more important in our life. Many enterprises promote their services and products to fans via the social media. The positive or negative sentiment of feedbacks from fans is very important for enterprises to improve their products, services, and promotion activities. The purpose of this paper is to understand the sentiment of the fan’s responses by analyzing the responses posted by fans on Facebook. The entity and aspect of fan’s responses were analyzed based on a predefined ontology. The ontology for cell phone sentiment analysis consists of aspect categories on the top level as follows: overall, shape, hardware, brand, price, and service. Each category consists of several sub-categories. All aspects for a fan’s response were found based on the ontology, and their corresponding sentimental terms were found using lexicon-based approach. The sentimental scores for aspects of fan responses were obtained by summarizing the sentimental terms in responses. The frequency of 'like' was also weighted in the sentimental score calculation. Three famous cell phone fan pages on Facebook were selected as demonstration cases to evaluate performances of the proposed methodology. Human judgment by several domain experts was also built for performance comparison. The performances of proposed approach were as good as those of human judgment on precision, recall and F1-measure. <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=ontology" title=" ontology"> ontology</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/62512/a-case-study-of-ontology-based-sentiment-analysis-for-fan-pages" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62512.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">232</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">27829</span> A Proposed Approach for Emotion Lexicon Enrichment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amr%20Mansour%20Mohsen">Amr Mansour Mohsen</a>, <a href="https://publications.waset.org/abstracts/search?q=Hesham%20Ahmed%20Hassan"> Hesham Ahmed Hassan</a>, <a href="https://publications.waset.org/abstracts/search?q=Amira%20M.%20Idrees"> Amira M. Idrees</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Document Analysis is an important research field that aims to gather the information by analyzing the data in documents. As one of the important targets for many fields is to understand what people actually want, sentimental analysis field has been one of the vital fields that are tightly related to the document analysis. This research focuses on analyzing text documents to classify each document according to its opinion. The aim of this research is to detect the emotions from text documents based on enriching the lexicon with adapting their content based on semantic patterns extraction. The proposed approach has been presented, and different experiments are applied by different perspectives to reveal the positive impact of the proposed approach on the classification results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=document%20analysis" title="document analysis">document analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=sentimental%20analysis" title=" sentimental analysis"> sentimental analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=emotion%20detection" title=" emotion detection"> emotion detection</a>, <a href="https://publications.waset.org/abstracts/search?q=WEKA%20tool" title=" WEKA tool"> WEKA tool</a>, <a href="https://publications.waset.org/abstracts/search?q=NRC%20lexicon" title=" NRC lexicon"> NRC lexicon</a> </p> <a href="https://publications.waset.org/abstracts/41465/a-proposed-approach-for-emotion-lexicon-enrichment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/41465.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">442</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">27828</span> Investor Sentiment and Satisfaction in Automated Investment: A Sentimental Analysis of Robo-Advisor Platforms</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vertika%20Goswami">Vertika Goswami</a>, <a href="https://publications.waset.org/abstracts/search?q=Gargi%20Sharma"> Gargi Sharma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The rapid evolution of fintech has led to the rise of robo-advisor platforms that utilize artificial intelligence (AI) and machine learning to offer personalized investment solutions efficiently and cost-effectively. This research paper conducts a comprehensive sentiment analysis of investor experiences with these platforms, employing natural language processing (NLP) and sentiment classification techniques. The study investigates investor perceptions, engagement, and satisfaction, identifying key drivers of positive sentiment such as clear communication, low fees, consistent returns, and robust security. Conversely, negative sentiment is linked to issues like inconsistent performance, hidden fees, poor customer support, and a lack of transparency. The analysis reveals that addressing these pain points—through improved transparency, enhanced customer service, and ongoing technological advancements—can significantly boost investor trust and satisfaction. This paper contributes valuable insights into the fields of behavioral finance and fintech innovation, offering actionable recommendations for stakeholders, practitioners, and policymakers. Future research should explore the long-term impact of these factors on investor loyalty, the role of emerging technologies, and the effects of ethical investment choices and regulatory compliance on investor sentiment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence%20in%20finance" title="artificial intelligence in finance">artificial intelligence in finance</a>, <a href="https://publications.waset.org/abstracts/search?q=automated%20investment" title=" automated investment"> automated investment</a>, <a href="https://publications.waset.org/abstracts/search?q=financial%20technology" title=" financial technology"> financial technology</a>, <a href="https://publications.waset.org/abstracts/search?q=investor%20satisfaction" title=" investor satisfaction"> investor satisfaction</a>, <a href="https://publications.waset.org/abstracts/search?q=investor%20sentiment" title=" investor sentiment"> investor sentiment</a>, <a href="https://publications.waset.org/abstracts/search?q=robo-advisors" title=" robo-advisors"> robo-advisors</a>, <a href="https://publications.waset.org/abstracts/search?q=sentimental%20analysis" title=" sentimental analysis"> sentimental analysis</a> </p> <a href="https://publications.waset.org/abstracts/192185/investor-sentiment-and-satisfaction-in-automated-investment-a-sentimental-analysis-of-robo-advisor-platforms" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192185.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">17</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">27827</span> Performance Analysis with the Combination of Visualization and Classification Technique for Medical Chatbot</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shajida%20M.">Shajida M.</a>, <a href="https://publications.waset.org/abstracts/search?q=Sakthiyadharshini%20N.%20P."> Sakthiyadharshini N. P.</a>, <a href="https://publications.waset.org/abstracts/search?q=Kamalesh%20S."> Kamalesh S.</a>, <a href="https://publications.waset.org/abstracts/search?q=Aswitha%20B."> Aswitha B.</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Natural Language Processing (NLP) continues to play a strategic part in complaint discovery and medicine discovery during the current epidemic. This abstract provides an overview of performance analysis with a combination of visualization and classification techniques of NLP for a medical chatbot. Sentiment analysis is an important aspect of NLP that is used to determine the emotional tone behind a piece of text. This technique has been applied to various domains, including medical chatbots. In this, we have compared the combination of the decision tree with heatmap and Naïve Bayes with Word Cloud. The performance of the chatbot was evaluated using accuracy, and the results indicate that the combination of visualization and classification techniques significantly improves the chatbot's performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sentimental%20analysis" title="sentimental analysis">sentimental analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=NLP" title=" NLP"> NLP</a>, <a href="https://publications.waset.org/abstracts/search?q=medical%20chatbot" title=" medical chatbot"> medical chatbot</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20tree" title=" decision tree"> decision tree</a>, <a href="https://publications.waset.org/abstracts/search?q=heatmap" title=" heatmap"> heatmap</a>, <a href="https://publications.waset.org/abstracts/search?q=na%C3%AFve%20bayes" title=" naïve bayes"> naïve bayes</a>, <a href="https://publications.waset.org/abstracts/search?q=word%20cloud" title=" word cloud"> word cloud</a> </p> <a href="https://publications.waset.org/abstracts/165924/performance-analysis-with-the-combination-of-visualization-and-classification-technique-for-medical-chatbot" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165924.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">73</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">27826</span> Neural Networks Models for Measuring Hotel Users Satisfaction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Asma%20Ameur">Asma Ameur</a>, <a href="https://publications.waset.org/abstracts/search?q=Dhafer%20Malouche"> Dhafer Malouche</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nowadays, user comments on the Internet have an important impact on hotel bookings. This confirms that the e-reputation issue can influence the likelihood of customer loyalty to a hotel. In this way, e-reputation has become a real differentiator between hotels. For this reason, we have a unique opportunity in the opinion mining field to analyze the comments. In fact, this field provides the possibility of extracting information related to the polarity of user reviews. This sentimental study (Opinion Mining) represents a new line of research for analyzing the unstructured textual data. Knowing the score of e-reputation helps the hotelier to better manage his marketing strategy. The score we then obtain is translated into the image of hotels to differentiate between them. Therefore, this present research highlights the importance of hotel satisfaction ‘scoring. To calculate the satisfaction score, the sentimental analysis can be manipulated by several techniques of machine learning. In fact, this study treats the extracted textual data by using the Artificial Neural Networks Approach (ANNs). In this context, we adopt the aforementioned technique to extract information from the comments available in the ‘Trip Advisor’ website. This actual paper details the description and the modeling of the ANNs approach for the scoring of online hotel reviews. In summary, the validation of this used method provides a significant model for hotel sentiment analysis. So, it provides the possibility to determine precisely the polarity of the hotel users reviews. The empirical results show that the ANNs are an accurate approach for sentiment analysis. The obtained results show also that this proposed approach serves to the dimensionality reduction for textual data’ clustering. Thus, this study provides researchers with a useful exploration of this technique. Finally, we outline guidelines for future research in the hotel e-reputation field as comparing the ANNs with other technique. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=clustering" title="clustering">clustering</a>, <a href="https://publications.waset.org/abstracts/search?q=consumer%20behavior" title=" consumer behavior"> consumer behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20mining" title=" data mining"> data mining</a>, <a href="https://publications.waset.org/abstracts/search?q=e-reputation" title=" e-reputation"> e-reputation</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20network" title=" neural network"> neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=online%20hotel%20%E2%80%98reviews" title=" online hotel ‘reviews"> online hotel ‘reviews</a>, <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=scoring" title=" scoring"> scoring</a> </p> <a href="https://publications.waset.org/abstracts/97372/neural-networks-models-for-measuring-hotel-users-satisfaction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/97372.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">136</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">27825</span> Voice of Customer: Mining Customers' Reviews on On-Line Car Community</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kim%20Dongwon">Kim Dongwon</a>, <a href="https://publications.waset.org/abstracts/search?q=Yu%20Songjin"> Yu Songjin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study identifies the business value of VOC (Voice of Customer) on the business. Precisely, we intend to demonstrate how much negative and positive sentiment of VOC has an influence on car sales market share in the unites states. We extract 7 emotions such as sadness, shame, anger, fear, frustration, delight and satisfaction from the VOC data, 23,204 pieces of opinions, that had been posted on car-related on-line community from 2007 to 2009(a part of data collection from 2007 to 2015), and intend to clarify the correlation between negative and positive sentimental keywords and contribution to market share. In order to develop a lexicon for each category of negative and positive sentiment, we took advantage of Corpus program, Antconc 3.4.1.w and on-line sentimental data, SentiWordNet and identified the part of speech(POS) information of words in the customers' opinion by using a part-of-speech tagging function provided by TextAnalysisOnline. For the purpose of this present study, a total of 45,741 pieces of customers' opinions of 28 car manufacturing companies had been collected including titles and status information. We conducted an experiment to examine whether the inclusion, frequency and intensity of terms with negative and positive emotions in each category affect the adoption of customer opinions for vehicle organizations' market share. In the experiment, we statistically verified that there is correlation between customer ideas containing negative and positive emotions and variation of marker share. Particularly, "Anger," a domain of negative domains, is significantly influential to car sales market share. The domain "Delight" and "Satisfaction" increased in proportion to growth of market share. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20mining" title="data mining">data mining</a>, <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=VOC" title=" VOC"> VOC</a> </p> <a href="https://publications.waset.org/abstracts/36907/voice-of-customer-mining-customers-reviews-on-on-line-car-community" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36907.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">214</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">27824</span> Preparation on Sentimental Analysis on Social Media Comments with Bidirectional Long Short-Term Memory Gated Recurrent Unit and Model Glove in Portuguese</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Leonardo%20Alfredo%20Mendoza">Leonardo Alfredo Mendoza</a>, <a href="https://publications.waset.org/abstracts/search?q=Cristian%20Munoz"> Cristian Munoz</a>, <a href="https://publications.waset.org/abstracts/search?q=Marco%20Aurelio%20Pacheco"> Marco Aurelio Pacheco</a>, <a href="https://publications.waset.org/abstracts/search?q=Manoela%20Kohler"> Manoela Kohler</a>, <a href="https://publications.waset.org/abstracts/search?q=Evelyn%20%20Batista"> Evelyn Batista</a>, <a href="https://publications.waset.org/abstracts/search?q=Rodrigo%20Moura"> Rodrigo Moura</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Natural Language Processing (NLP) techniques are increasingly more powerful to be able to interpret the feelings and reactions of a person to a product or service. Sentiment analysis has become a fundamental tool for this interpretation but has few applications in languages other than English. This paper presents a classification of sentiment analysis in Portuguese with a base of comments from social networks in Portuguese. A word embedding's representation was used with a 50-Dimension GloVe pre-trained model, generated through a corpus completely in Portuguese. To generate this classification, the bidirectional long short-term memory and bidirectional Gated Recurrent Unit (GRU) models are used, reaching results of 99.1%. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=natural%20processing%20language" title="natural processing language">natural processing language</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=bidirectional%20long%20short-term%20memory" title=" bidirectional long short-term memory"> bidirectional long short-term memory</a>, <a href="https://publications.waset.org/abstracts/search?q=BI-LSTM" title=" BI-LSTM"> BI-LSTM</a>, <a href="https://publications.waset.org/abstracts/search?q=gated%20recurrent%20unit" title=" gated recurrent unit"> gated recurrent unit</a>, <a href="https://publications.waset.org/abstracts/search?q=GRU" title=" GRU"> GRU</a> </p> <a href="https://publications.waset.org/abstracts/131061/preparation-on-sentimental-analysis-on-social-media-comments-with-bidirectional-long-short-term-memory-gated-recurrent-unit-and-model-glove-in-portuguese" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/131061.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">159</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">27823</span> Evotrader: Bitcoin Trading Using Evolutionary Algorithms on Technical Analysis and Social Sentiment Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Martin%20Pellon%20Consunji">Martin Pellon Consunji</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Due to the rise in popularity of Bitcoin and other crypto assets as a store of wealth and speculative investment, there is an ever-growing demand for automated trading tools, such as bots, in order to gain an advantage over the market. Traditionally, trading in the stock market was done by professionals with years of training who understood patterns and exploited market opportunities in order to gain a profit. However, nowadays a larger portion of market participants are at minimum aided by market-data processing bots, which can generally generate more stable signals than the average human trader. The rise in trading bot usage can be accredited to the inherent advantages that bots have over humans in terms of processing large amounts of data, lack of emotions of fear or greed, and predicting market prices using past data and artificial intelligence, hence a growing number of approaches have been brought forward to tackle this task. However, the general limitation of these approaches can still be broken down to the fact that limited historical data doesn’t always determine the future, and that a lot of market participants are still human emotion-driven traders. Moreover, developing markets such as those of the cryptocurrency space have even less historical data to interpret than most other well-established markets. Due to this, some human traders have gone back to the tried-and-tested traditional technical analysis tools for exploiting market patterns and simplifying the broader spectrum of data that is involved in making market predictions. This paper proposes a method which uses neuro evolution techniques on both sentimental data and, the more traditionally human-consumed, technical analysis data in order to gain a more accurate forecast of future market behavior and account for the way both automated bots and human traders affect the market prices of Bitcoin and other cryptocurrencies. This study’s approach uses evolutionary algorithms to automatically develop increasingly improved populations of bots which, by using the latest inflows of market analysis and sentimental data, evolve to efficiently predict future market price movements. The effectiveness of the approach is validated by testing the system in a simulated historical trading scenario, a real Bitcoin market live trading scenario, and testing its robustness in other cryptocurrency and stock market scenarios. Experimental results during a 30-day period show that this method outperformed the buy and hold strategy by over 260% in terms of net profits, even when taking into consideration standard trading fees. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=neuro-evolution" title="neuro-evolution">neuro-evolution</a>, <a href="https://publications.waset.org/abstracts/search?q=Bitcoin" title=" Bitcoin"> Bitcoin</a>, <a href="https://publications.waset.org/abstracts/search?q=trading%20bots" title=" trading bots"> trading bots</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20networks" title=" artificial neural networks"> artificial neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=technical%20analysis" title=" technical analysis"> technical analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=evolutionary%20algorithms" title=" evolutionary algorithms"> evolutionary algorithms</a> </p> <a href="https://publications.waset.org/abstracts/136305/evotrader-bitcoin-trading-using-evolutionary-algorithms-on-technical-analysis-and-social-sentiment-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/136305.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">123</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">27822</span> Unraveling the Threads of Madness: Henry Russell’s 'The Maniac' as an Advocate for Deinstitutionalization in the Nineteenth Century</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=T.%20J.%20Laws-Nicola">T. J. Laws-Nicola</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Henry Russell was best known as a composer of more than 300 songs. Many of his compositions were popular for both their sentimental texts, as in ‘The Old Armchair,’ and those of a more political nature, such as ‘Woodsman, Spare That Tree!’ Indeed, Russell had written such songs of advocacy as those associated with abolitionism (‘The Slave Ship’) and environmentalism (‘Woodsman, Spare that Tree!’). ‘The Maniac’ is his only composition addressing the issue of institutionalization. The text is borrowed and adapted from the monodrama The Captive by M.G. ‘Monk’ Lewis. Through an analysis of form, harmony, melody, text, and thematic development and interactions between text and music we can approach a clearer understanding of ‘The Maniac’ and how the text and music interact. Select periodicals, such as The London Times, provide contemporary critical review for ‘The Maniac.’ Additional nineteenth century songs whose texts focus on madness and/or institutionalization will assist in building a stylistic and cultural context for ‘The Maniac.’ Through comparative analyses of ‘The Maniac’ with a body of songs that focus on similar topics, we can approach a clear understanding of the song as a vehicle for deinstitutionalization. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=19th%20century%20song" title="19th century song">19th century song</a>, <a href="https://publications.waset.org/abstracts/search?q=institutionalization" title=" institutionalization"> institutionalization</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20G.%20Lewis" title=" M. G. Lewis"> M. G. Lewis</a>, <a href="https://publications.waset.org/abstracts/search?q=Henry%20Russell" title=" Henry Russell"> Henry Russell</a> </p> <a href="https://publications.waset.org/abstracts/38248/unraveling-the-threads-of-madness-henry-russells-the-maniac-as-an-advocate-for-deinstitutionalization-in-the-nineteenth-century" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/38248.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">534</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">27821</span> ‘BEST BARK’ Dog Care and Owner Consultation System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shalitha%20Jayasekara">Shalitha Jayasekara</a>, <a href="https://publications.waset.org/abstracts/search?q=Saluk%20Bawantha"> Saluk Bawantha</a>, <a href="https://publications.waset.org/abstracts/search?q=Dinithi%20Anupama"> Dinithi Anupama</a>, <a href="https://publications.waset.org/abstracts/search?q=Isuru%20Gunarathne"> Isuru Gunarathne</a>, <a href="https://publications.waset.org/abstracts/search?q=Pradeepa%20Bandara"> Pradeepa Bandara</a>, <a href="https://publications.waset.org/abstracts/search?q=Hansi%20De%20Silva"> Hansi De Silva</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Dogs have been known as "man's best friend" for generations, providing friendship and loyalty to their human counterparts. However, due to people's busy lives, they are unaware of the ailments that can affect their pets. However, in recent years, mobile technologies have had a significant impact on our lives, and with technological improvements, a rule-based expert system allows the end-user to enable new types of healthcare systems. The advent of Android OS-based smartphones with more user-friendly interfaces and lower pricing opens new possibilities for continuous monitoring of pets' health conditions, such as healthy dogs, dangerous ingestions, and swallowed objects. The proposed ‘Best Bark’ Dog care and owner consultation system is a mobile application for dog owners. Four main components for dog owners were implemented after a questionnaire was distributed to the target group of audience and the findings were evaluated. The proposed applications are widely used to provide health and clinical support to dog owners, including suggesting exercise and diet plans and answering queries about their dogs. Additionally, after the owner uploads a photo of the dog, the application provides immediate feedback and a description of the dog's skin disease. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Convolution%20Neural%20Networks" title="Convolution Neural Networks">Convolution Neural Networks</a>, <a href="https://publications.waset.org/abstracts/search?q=Artificial%20Neural%20Networks" title="Artificial Neural Networks">Artificial Neural Networks</a>, <a href="https://publications.waset.org/abstracts/search?q=Knowledgebase" title="Knowledgebase">Knowledgebase</a>, <a href="https://publications.waset.org/abstracts/search?q=Sentimental%20Analysis." title="Sentimental Analysis.">Sentimental Analysis.</a> </p> <a href="https://publications.waset.org/abstracts/144084/best-bark-dog-care-and-owner-consultation-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/144084.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">153</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">27820</span> Queer Lesbian Experience within Chinese Girl's Love Manga Fandom: An Qualitative Study of Sexuality among Chinese Yuri Fans</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ka%20Yi%20Yeung">Ka Yi Yeung</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Yuri is a manga culture which refers to the works (manga, literature, TV shows) that depict the intimacy between two girls. It is originally a Japanese culture which then implanted in Chinese fandom after the airing of Maria-sama ga Miteru. There has been a growing fanbase of Yuri culture and most of them are attracted by the subtle and sentimental relationship between girls. The culture is characterized by the spiritual bonding and interactions within girls. A high proportion of female fans in Chinese Yuri community was recorded, and Yamibo forum is their major site for socializing and discussion on Yuri’s work. There is a high tendency that female Yuri fans engaged in a homosexual relationship. However, they seldom directly address themselves as lesbian but non-heterosexual. It is due to the fact that Yuri fans community largely disagrees with the butch-femme role in the mainstream lesbianism. Within Chinese Yuri community, femininity is highly being appreciated. Members with high degree of feminine characteristics are popular among fans community. Besides, since the fans community-based at the online forum, there has been a high tendency that members developed the long-distance relationship. From the in-depth interviews of the research, Yuri fans are mostly pessimistic towards their relationship due to the social and geographical barriers, yet at the same time, they do not lose hope in searching for their true love. This research explored how Chinese Yuri fans challenge the homonormativity in mainstream lesbianism and how they construct their sexual identity through varies discourses on sexuality and homosexual experience. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chinese%20fandom" title="Chinese fandom">Chinese fandom</a>, <a href="https://publications.waset.org/abstracts/search?q=femininity" title=" femininity"> femininity</a>, <a href="https://publications.waset.org/abstracts/search?q=gender" title=" gender"> gender</a>, <a href="https://publications.waset.org/abstracts/search?q=homonormativity" title=" homonormativity"> homonormativity</a>, <a href="https://publications.waset.org/abstracts/search?q=Japanese%20manga" title=" Japanese manga"> Japanese manga</a>, <a href="https://publications.waset.org/abstracts/search?q=lesbianism" title=" lesbianism"> lesbianism</a>, <a href="https://publications.waset.org/abstracts/search?q=sexuality" title=" sexuality"> sexuality</a>, <a href="https://publications.waset.org/abstracts/search?q=queer%20culture" title=" queer culture "> queer culture </a> </p> <a href="https://publications.waset.org/abstracts/64661/queer-lesbian-experience-within-chinese-girls-love-manga-fandom-an-qualitative-study-of-sexuality-among-chinese-yuri-fans" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/64661.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">391</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">27819</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">27818</span> Significance of Monumental Heritage in India: A Case Study of Humayun Tomb</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bhawna%20Shivan">Bhawna Shivan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Indian monuments have been spoken of as for variety, extent, completeness and beauty unsurpassed perhaps unequaled in world. India’s monumental heritage is a part and parcel of India today. The underlying issue with the monumental heritage in contemporary times is that these monuments suffered many times with various degrees of threats/ pressures which hampered their beauty. In the current situation, the urbanization policies for sustainable development and tourism management pay no attention to the basic point of conservation and protection of these cultural heritages rather they focus more on profit earned from these sites. Many times rich heritage is found balancing between conflicting pressures of conservation of heritage elements with sustainability and local economic development. There is a need of a new attitude to India’s independent and democratic ideology. The paper will enquire about the historical perspective by analyzing and understanding the importance of Mughal Architecture while focusing on Humayun Tomb while assessing the value and sentiment people attach to these monuments. It will also put the focus on the future of these monuments in the era of globalization and urbanization. The role of public and private authorities for conservation and sustainable development of these monuments. As well as assessing other facilities like toilets, parking, eatery joint, Museum with Display of structural representation and display of books, and a mobile shop. The research will be helpful in assessing the importance of heritage buildings whether they are a tool of enhancing ‘Tourism Industry’ for Central and State Government or really there is still some future of these monuments. Can we still consider these heritage sites as the integral part of our society in this urbanized world? The study will also analyze the attitude of the central and state government towards a building when it declared as a ‘World Heritage Site’. The study will also examine how the Youth and other aged generations append their sentimental values towards them, say (what is their purpose of coming to a heritage site, what makes them coming here, how they view this particular monument) Apart from this, probing the factors such as rapid growth of cities and its population, increasing value of urban land and effect of globalization on urban growth pattern that are capable of producing a variety of threats and pressures on any monument for instance Humayun Tomb. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=globalization" title="globalization">globalization</a>, <a href="https://publications.waset.org/abstracts/search?q=monuments" title=" monuments"> monuments</a>, <a href="https://publications.waset.org/abstracts/search?q=tourism" title=" tourism"> tourism</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20heritage" title=" urban heritage"> urban heritage</a> </p> <a href="https://publications.waset.org/abstracts/59274/significance-of-monumental-heritage-in-india-a-case-study-of-humayun-tomb" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59274.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">27817</span> A Brief Review on the Relationship between Pain and Sociology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hanieh%20Sakha">Hanieh Sakha</a>, <a href="https://publications.waset.org/abstracts/search?q=Nader%20Nader"> Nader Nader</a>, <a href="https://publications.waset.org/abstracts/search?q=Haleh%20Farzin"> Haleh Farzin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Throughout history, pain theories have been supposed by biomedicine, especially regarding its diagnosis and treatment aspects. Therefore, the feeling of pain is not only a personal experience and is affected by social background; therefore, it involves extensive systems of signals. The challenges in emotional and sentimental dimensions of pain originate from scientific medicine (i.e., the dominant theory is also referred to as the specificity theory); however, this theory has accepted some alterations by emerging physiology. Then, Von Frey suggested the theory of cutaneous senses (i.e., Muller’s concept: the common sensation of combined four major skin receptors leading to a proper sensation) 50 years after the specificity theory. The pain pathway was composed of spinothalamic tracts and thalamus with an inhibitory effect on the cortex. Pain is referred to as a series of unique experiences with various reasons and qualities. Despite the gate control theory, the biological aspect overcomes the social aspect. Vrancken provided a more extensive definition of pain and found five approaches: Somatico-technical, dualistic body-oriented, behaviorist, phenomenological, and consciousness approaches. The Western model combined physical, emotional, and existential aspects of the human body. On the other hand, Kotarba felt confused about the basic origins of chronic pain. Freund demonstrated and argued with Durkhemian about the sociological approach to emotions. Lynch provided a piece of evidence about the correlation between cardiovascular disease and emotionally life-threatening occurrences. Helman supposed a distinction between private and public pain. Conclusion: The consideration of the emotional aspect of pain could lead to effective, emotional, and social responses to pain. On the contrary, the theory of embodiment is based on the sociological view of health and illness. Social epidemiology shows an imbalanced distribution of health, illness, and disability among various social groups. The social support and socio-cultural level can result in several types of pain. It means the status of athletes might define their pain experiences. Gender is one of the important contributing factors affecting the type of pain (i.e., females are more likely to seek health services for pain relief.) Chronic non-cancer pain (CNCP) has become a serious public health issue affecting more than 70 million people globally. CNCP is a serious public health issue which is caused by the lack of awareness about chronic pain management among the general population. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=pain" title="pain">pain</a>, <a href="https://publications.waset.org/abstracts/search?q=sociology" title=" sociology"> sociology</a>, <a href="https://publications.waset.org/abstracts/search?q=sociological" title=" sociological"> sociological</a>, <a href="https://publications.waset.org/abstracts/search?q=body" title=" body"> body</a> </p> <a href="https://publications.waset.org/abstracts/168773/a-brief-review-on-the-relationship-between-pain-and-sociology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/168773.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">27816</span> A Review of Spatial Analysis as a Geographic Information Management Tool</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chidiebere%20C.%20Agoha">Chidiebere C. Agoha</a>, <a href="https://publications.waset.org/abstracts/search?q=Armstong%20C.%20Awuzie"> Armstong C. Awuzie</a>, <a href="https://publications.waset.org/abstracts/search?q=Chukwuebuka%20N.%20Onwubuariri"> Chukwuebuka N. Onwubuariri</a>, <a href="https://publications.waset.org/abstracts/search?q=Joy%20O.%20Njoku"> Joy O. Njoku</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Spatial analysis is a field of study that utilizes geographic or spatial information to understand and analyze patterns, relationships, and trends in data. It is characterized by the use of geographic or spatial information, which allows for the analysis of data in the context of its location and surroundings. It is different from non-spatial or aspatial techniques, which do not consider the geographic context and may not provide as complete of an understanding of the data. Spatial analysis is applied in a variety of fields, which includes urban planning, environmental science, geosciences, epidemiology, marketing, to gain insights and make decisions about complex spatial problems. This review paper explores definitions of spatial analysis from various sources, including examples of its application and different analysis techniques such as Buffer analysis, interpolation, and Kernel density analysis (multi-distance spatial cluster analysis). It also contrasts spatial analysis with non-spatial analysis. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aspatial%20technique" title="aspatial technique">aspatial technique</a>, <a href="https://publications.waset.org/abstracts/search?q=buffer%20analysis" title=" buffer analysis"> buffer analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=epidemiology" title=" epidemiology"> epidemiology</a>, <a href="https://publications.waset.org/abstracts/search?q=interpolation" title=" interpolation"> interpolation</a> </p> <a href="https://publications.waset.org/abstracts/171698/a-review-of-spatial-analysis-as-a-geographic-information-management-tool" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/171698.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">318</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">27815</span> Application of Subversion Analysis in the Search for the Causes of Cracking in a Marine Engine Injector Nozzle</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Leszek%20Chybowski">Leszek Chybowski</a>, <a href="https://publications.waset.org/abstracts/search?q=Artur%20Bejger"> Artur Bejger</a>, <a href="https://publications.waset.org/abstracts/search?q=Katarzyna%20Gawdzi%C5%84ska"> Katarzyna Gawdzińska</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Subversion analysis is a tool used in the TRIZ (Theory of Inventive Problem Solving) methodology. This article introduces the history and describes the process of subversion analysis, as well as function analysis and analysis of the resources, used at the design stage when generating possible undesirable situations. The article charts the course of subversion analysis when applied to a fuel injection nozzle of a marine engine. The work describes the fuel injector nozzle as a technological system and presents principles of analysis for the causes of a cracked tip of the nozzle body. The system is modelled with functional analysis. A search for potential causes of the damage is undertaken and a cause-and-effect analysis for various hypotheses concerning the damage is drawn up. The importance of particular hypotheses is evaluated and the most likely causes of damage identified. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=complex%20technical%20system" title="complex technical system">complex technical system</a>, <a href="https://publications.waset.org/abstracts/search?q=fuel%20injector" title=" fuel injector"> fuel injector</a>, <a href="https://publications.waset.org/abstracts/search?q=function%20analysis" title=" function analysis"> function analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=importance%20analysis" title=" importance analysis"> importance analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=resource%20analysis" title=" resource analysis"> resource analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=sabotage%20analysis" title=" sabotage analysis"> sabotage analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=subversion%20analysis" title=" subversion analysis"> subversion analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=TRIZ%20%28Theory%20of%20Inventive%20Problem%20Solving%29" title=" TRIZ (Theory of Inventive Problem Solving)"> TRIZ (Theory of Inventive Problem Solving)</a> </p> <a href="https://publications.waset.org/abstracts/79670/application-of-subversion-analysis-in-the-search-for-the-causes-of-cracking-in-a-marine-engine-injector-nozzle" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/79670.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">617</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">27814</span> The Impact of Emotional Intelligence on Organizational Performance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=El%20Ghazi%20Safae">El Ghazi Safae</a>, <a href="https://publications.waset.org/abstracts/search?q=Cherkaoui%20Mounia"> Cherkaoui Mounia</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Within companies, emotions have been forgotten as key elements of successful management systems. Seen as factors which disturb judgment, make reckless acts or affect negatively decision-making. Since management systems were influenced by the Taylorist worker image, that made the work regular and plain, and considered employees as executing machines. However, recently, in globalized economy characterized by a variety of uncertainties, emotions are proved as useful elements, even necessary, to attend high-level management. The work of Elton Mayo and Kurt Lewin reveals the importance of emotions. Since then emotions start to attract considerable attention. These studies have shown that emotions influence, directly or indirectly, many organization processes. For example, the quality of interpersonal relationships, job satisfaction, absenteeism, stress, leadership, performance and team commitment. Emotions became fundamental and indispensable to individual yield and so on to management efficiency. The idea that a person potential is associated to Intellectual Intelligence, measured by the IQ as the main factor of social, professional and even sentimental success, was the main problematic that need to be questioned. The literature on emotional intelligence has made clear that success at work does not only depend on intellectual intelligence but also other factors. Several researches investigating emotional intelligence impact on performance showed that emotionally intelligent managers perform more, attain remarkable results, able to achieve organizational objectives, impact the mood of their subordinates and create a friendly work environment. An improvement in the emotional intelligence of managers is therefore linked to the professional development of the organization and not only to the personal development of the manager. In this context, it would be interesting to question the importance of emotional intelligence. Does it impact organizational performance? What is the importance of emotional intelligence and how it impacts organizational performance? The literature highlighted that measurement and conceptualization of emotional intelligence are difficult to define. Efforts to measure emotional intelligence have identified three models that are more prominent: the mixed model, the ability model, and the trait model. The first is considered as cognitive skill, the second relates to the mixing of emotional skills with personality-related aspects and the latter is intertwined with personality traits. But, despite strong claims about the importance of emotional intelligence in the workplace, few studies have empirically examined the impact of emotional intelligence on organizational performance, because even though the concept of performance is at the heart of all evaluation processes of companies and organizations, we observe that performance remains a multidimensional concept and many authors insist about the vagueness that surrounds the concept. Given the above, this article provides an overview of the researches related to emotional intelligence, particularly focusing on studies that investigated the impact of emotional intelligence on organizational performance to contribute to the emotional intelligence literature and highlight its importance and show how it impacts companies’ performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=emotions" title="emotions">emotions</a>, <a href="https://publications.waset.org/abstracts/search?q=performance" title=" performance"> performance</a>, <a href="https://publications.waset.org/abstracts/search?q=intelligence" title=" intelligence"> intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=firms" title=" firms"> firms</a> </p> <a href="https://publications.waset.org/abstracts/118803/the-impact-of-emotional-intelligence-on-organizational-performance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/118803.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">108</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">27813</span> Effects of Wind Load on the Tank Structures with Various Shapes and Aspect Ratios</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Doo%20Byong%20Bae">Doo Byong Bae</a>, <a href="https://publications.waset.org/abstracts/search?q=Jae%20Jun%20Yoo"> Jae Jun Yoo</a>, <a href="https://publications.waset.org/abstracts/search?q=Il%20Gyu%20Park"> Il Gyu Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Choi%20Seowon"> Choi Seowon</a>, <a href="https://publications.waset.org/abstracts/search?q=Oh%20Chang%20Kook"> Oh Chang Kook</a> </p> <p class="card-text"><strong>Abstract:</strong></p> There are several wind load provisions to evaluate the wind response on tank structures such as API, Euro-code, etc. the assessment of wind action applying these provisions is made by performing the finite element analysis using both linear bifurcation analysis and geometrically nonlinear analysis. By comparing the pressure patterns obtained from the analysis with the results of wind tunnel test, most appropriate wind load criteria will be recommended. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wind%20load" title="wind load">wind load</a>, <a href="https://publications.waset.org/abstracts/search?q=finite%20element%20analysis" title=" finite element analysis"> finite element analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=linear%20bifurcation%20analysis" title=" linear bifurcation analysis"> linear bifurcation analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=geometrically%20nonlinear%20analysis" title=" geometrically nonlinear analysis"> geometrically nonlinear analysis</a> </p> <a href="https://publications.waset.org/abstracts/45923/effects-of-wind-load-on-the-tank-structures-with-various-shapes-and-aspect-ratios" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/45923.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">637</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">27812</span> The Role of Environmental Analysis in Managing Knowledge in Small and Medium Sized Enterprises </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Liu%20Yao">Liu Yao</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20T.%20Wan%20Maseri"> B. T. Wan Maseri</a>, <a href="https://publications.waset.org/abstracts/search?q=Wan%20Mohd"> Wan Mohd</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20T.%20Nurul%20Izzah"> B. T. Nurul Izzah</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohd%20Shah"> Mohd Shah</a>, <a href="https://publications.waset.org/abstracts/search?q=Wei%20Wei"> Wei Wei</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Effectively managing knowledge has become a vital weapon for businesses to survive or to succeed in the increasingly competitive market. But do they perform environmental analysis when managing knowledge? If yes, how is the level and significance? This paper established a conceptual framework covering the basic knowledge management activities (KMA) to examine their contribution towards organizational performance (OP). Environmental analysis (EA) was then investigated from both internal and external aspects, to identify its effects on that contribution. Data was collected from 400 Chinese SMEs by questionnaires. Cronbach's α and factor analysis were conducted. Regression results show that the external analysis presents higher level than internal analysis. However, the internal analysis mediates the effects of external analysis on the KMA-OP relation and plays more significant role in the relation comparing with the external analysis. Thus, firms shall improve environmental analysis especially the internal analysis to enhance their KM practices. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=knowledge%20management" title="knowledge management">knowledge management</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental%20analysis" title=" environmental analysis"> environmental analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=performance" title=" performance"> performance</a>, <a href="https://publications.waset.org/abstracts/search?q=mediating" title=" mediating"> mediating</a>, <a href="https://publications.waset.org/abstracts/search?q=small%20sized%20enterprises" title=" small sized enterprises"> small sized enterprises</a>, <a href="https://publications.waset.org/abstracts/search?q=medium%20sized%20enterprises" title=" medium sized enterprises"> medium sized enterprises</a> </p> <a href="https://publications.waset.org/abstracts/1841/the-role-of-environmental-analysis-in-managing-knowledge-in-small-and-medium-sized-enterprises" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/1841.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">614</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">27811</span> Improving Taint Analysis of Android Applications Using Finite State Machines</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Assad%20Maalouf">Assad Maalouf</a>, <a href="https://publications.waset.org/abstracts/search?q=Lunjin%20Lu"> Lunjin Lu</a>, <a href="https://publications.waset.org/abstracts/search?q=James%20Lynott"> James Lynott</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We present a taint analysis that can automatically detect when string operations result in a string that is free of taints, where all the tainted patterns have been removed. This is an improvement on the conservative behavior of previous taint analyzers, where a string operation on a tainted string always leads to a tainted string unless the operation is manually marked as a sanitizer. The taint analysis is built on top of a string analysis that uses finite state automata to approximate the sets of values that string variables can take during the execution of a program. The proposed approach has been implemented as an extension of FlowDroid and experimental results show that the resulting taint analyzer is much more precise than the original FlowDroid. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=android" title="android">android</a>, <a href="https://publications.waset.org/abstracts/search?q=static%20analysis" title=" static analysis"> static analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=string%20analysis" title=" string analysis"> string analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=taint%20analysis" title=" taint analysis"> taint analysis</a> </p> <a href="https://publications.waset.org/abstracts/130148/improving-taint-analysis-of-android-applications-using-finite-state-machines" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/130148.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">180</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">27810</span> The Documentary Analysis of Meta-Analysis Research in Violence of Media</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Proud%20Arunrangsiwed">Proud Arunrangsiwed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The part of “future direction” in the findings of meta-analysis could provide the great direction to conduct the future studies. This study, “The Documentary Analysis of Meta-Analysis Research in Violence of Media” would conclude “future directions” out of 10 meta-analysis papers. The purposes of this research are to find an appropriate research design or an appropriate methodology for the future research related to the topic, “violence of media”. Further research needs to explore by longitudinal and experimental design, and also needs to have a careful consideration about age effects, time spent effects, enjoyment effects, and ordinary lifestyle of each media consumer. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aggressive" title="aggressive">aggressive</a>, <a href="https://publications.waset.org/abstracts/search?q=future%20direction" title=" future direction"> future direction</a>, <a href="https://publications.waset.org/abstracts/search?q=meta-analysis" title=" meta-analysis"> meta-analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=media" title=" media"> media</a>, <a href="https://publications.waset.org/abstracts/search?q=violence" title=" violence"> violence</a> </p> <a href="https://publications.waset.org/abstracts/3300/the-documentary-analysis-of-meta-analysis-research-in-violence-of-media" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/3300.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">410</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">27809</span> Data Transformations in Data Envelopment Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mansour%20Mohammadpour">Mansour Mohammadpour</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Data transformation refers to the modification of any point in a data set by a mathematical function. When applying transformations, the measurement scale of the data is modified. Data transformations are commonly employed to turn data into the appropriate form, which can serve various functions in the quantitative analysis of the data. This study addresses the investigation of the use of data transformations in Data Envelopment Analysis (DEA). Although data transformations are important options for analysis, they do fundamentally alter the nature of the variable, making the interpretation of the results somewhat more complex. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20transformation" title="data transformation">data transformation</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20envelopment%20analysis" title=" data envelopment analysis"> data envelopment analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=undesirable%20data" title=" undesirable data"> undesirable data</a>, <a href="https://publications.waset.org/abstracts/search?q=negative%20data" title=" negative data"> negative data</a> </p> <a href="https://publications.waset.org/abstracts/192236/data-transformations-in-data-envelopment-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192236.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">20</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">27808</span> Considering Partially Developed Artifacts in Change Impact Analysis Implementation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nazri%20Kama">Nazri Kama</a>, <a href="https://publications.waset.org/abstracts/search?q=Sufyan%20Basri"> Sufyan Basri</a>, <a href="https://publications.waset.org/abstracts/search?q=Roslina%20Ibrahim"> Roslina Ibrahim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> It is important to manage the changes in the software to meet the evolving needs of the customer. Accepting too many changes causes delay in the completion and it incurs additional cost. One type of information that helps to make the decision is through change impact analysis. Current impact analysis approaches assume that all classes in the class artifact are completely developed and the class artifact is used as a source of analysis. However, these assumptions are impractical for impact analysis in the software development phase as some classes in the class artifact are still under development or partially developed that leads to inaccuracy. This paper presents a novel impact analysis approach to be used in the software development phase. The significant achievements of the approach are demonstrated through an extensive experimental validation using three case studies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=software%20development" title="software development">software development</a>, <a href="https://publications.waset.org/abstracts/search?q=impact%20analysis" title=" impact analysis"> impact analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=traceability" title=" traceability"> traceability</a>, <a href="https://publications.waset.org/abstracts/search?q=static%20analysis." title=" static analysis."> static analysis.</a> </p> <a href="https://publications.waset.org/abstracts/2296/considering-partially-developed-artifacts-in-change-impact-analysis-implementation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2296.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">608</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">27807</span> On the Analysis of Pseudorandom Partial Quotient Sequences Generated from Continued Fractions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=T.%20Padma">T. Padma</a>, <a href="https://publications.waset.org/abstracts/search?q=Jayashree%20S.%20Pillai"> Jayashree S. Pillai</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Random entities are an essential component in any cryptographic application. The suitability of a number theory based novel pseudorandom sequence called Pseudorandom Partial Quotient Sequence (PPQS) generated from the continued fraction expansion of irrational numbers, in cryptographic applications, is analyzed in this paper. An approach to build the algorithm around a hard mathematical problem has been considered. The PQ sequence is tested for randomness and its suitability as a cryptographic key by performing randomness analysis, key sensitivity and key space analysis, precision analysis and evaluating the correlation properties is established. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=pseudorandom%20sequences" title="pseudorandom sequences">pseudorandom sequences</a>, <a href="https://publications.waset.org/abstracts/search?q=key%20sensitivity" title=" key sensitivity"> key sensitivity</a>, <a href="https://publications.waset.org/abstracts/search?q=correlation" title=" correlation"> correlation</a>, <a href="https://publications.waset.org/abstracts/search?q=security%20analysis" title=" security analysis"> security analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=randomness%20analysis" title=" randomness analysis"> randomness analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=sensitivity%20analysis" title=" sensitivity analysis"> sensitivity analysis</a> </p> <a href="https://publications.waset.org/abstracts/26665/on-the-analysis-of-pseudorandom-partial-quotient-sequences-generated-from-continued-fractions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26665.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">590</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">27806</span> Impact on the Results of Sub-Group Analysis on Performance of Recommender Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ho%20Yeon%20Park">Ho Yeon Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Kyoung-Jae%20Kim"> Kyoung-Jae Kim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this study is to investigate whether friendship in social media can be an important factor in recommender system through social scientific analysis of friendship in popular social media such as Facebook and Twitter. For this purpose, this study analyzes data on friendship in real social media using component analysis and clique analysis among sub-group analysis in social network analysis. In this study, we propose an algorithm to reflect the results of sub-group analysis on the recommender system. The key to this algorithm is to ensure that recommendations from users in friendships are more likely to be reflected in recommendations from users. As a result of this study, outcomes of various subgroup analyzes were derived, and it was confirmed that the results were different from the results of the existing recommender system. Therefore, it is considered that the results of the subgroup analysis affect the recommendation performance of the system. Future research will attempt to generalize the results of the research through further analysis of various social data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sub-group%20analysis" title="sub-group analysis">sub-group analysis</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=social%20network%20analysis" title=" social network analysis"> social network analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=recommender%20systems" title=" recommender systems"> recommender systems</a> </p> <a href="https://publications.waset.org/abstracts/73164/impact-on-the-results-of-sub-group-analysis-on-performance-of-recommender-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73164.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">363</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">27805</span> Sentiment Analysis: Comparative Analysis of Multilingual Sentiment and Opinion Classification Techniques</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sannikumar%20Patel">Sannikumar Patel</a>, <a href="https://publications.waset.org/abstracts/search?q=Brian%20Nolan"> Brian Nolan</a>, <a href="https://publications.waset.org/abstracts/search?q=Markus%20Hofmann"> Markus Hofmann</a>, <a href="https://publications.waset.org/abstracts/search?q=Philip%20Owende"> Philip Owende</a>, <a href="https://publications.waset.org/abstracts/search?q=Kunjan%20Patel"> Kunjan Patel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Sentiment analysis and opinion mining have become emerging topics of research in recent years but most of the work is focused on data in the English language. A comprehensive research and analysis are essential which considers multiple languages, machine translation techniques, and different classifiers. This paper presents, a comparative analysis of different approaches for multilingual sentiment analysis. These approaches are divided into two parts: one using classification of text without language translation and second using the translation of testing data to a target language, such as English, before classification. The presented research and results are useful for understanding whether machine translation should be used for multilingual sentiment analysis or building language specific sentiment classification systems is a better approach. The effects of language translation techniques, features, and accuracy of various classifiers for multilingual sentiment analysis is also discussed in this study. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cross-language%20analysis" title="cross-language analysis">cross-language analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20translation" title=" machine translation"> machine translation</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/61790/sentiment-analysis-comparative-analysis-of-multilingual-sentiment-and-opinion-classification-techniques" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61790.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">713</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">27804</span> Sentiment Analysis in Social Networks Sites Based on a Bibliometrics Analysis: A Comprehensive Analysis and Trends for Future Research Planning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jehan%20Fahim%20M.%20Alsulami">Jehan Fahim M. Alsulami</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Academic research about sentiment analysis in sentiment analysis has obtained significant advancement over recent years and is flourishing from the collection of knowledge provided by various academic disciplines. In the current study, the status and development trend of the field of sentiment analysis in social networks is evaluated through a bibliometric analysis of academic publications. In particular, the distributions of publications and citations, the distribution of subject, predominant journals, authors, countries are analyzed. The collaboration degree is applied to measure scientific connections from different aspects. Moreover, the keyword co-occurrence analysis is used to find out the major research topics and their evolutions throughout the time span. The area of sentiment analysis in social networks has gained growing attention in academia, with computer science and engineering as the top main research subjects. China and the USA provide the most to the area development. Authors prefer to collaborate more with those within the same nation. Among the research topics, newly risen topics such as COVID-19, customer satisfaction are discovered. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bibliometric%20analysis" title="bibliometric analysis">bibliometric analysis</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=social%20networks" title=" social networks"> social networks</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20media" title=" social media"> social media</a> </p> <a href="https://publications.waset.org/abstracts/137597/sentiment-analysis-in-social-networks-sites-based-on-a-bibliometrics-analysis-a-comprehensive-analysis-and-trends-for-future-research-planning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/137597.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">218</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">27803</span> Vibrations of Springboards: Mode Shape and Time Domain Analysis </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Stefano%20Frassinelli">Stefano Frassinelli</a>, <a href="https://publications.waset.org/abstracts/search?q=Alessandro%20Niccolai"> Alessandro Niccolai</a>, <a href="https://publications.waset.org/abstracts/search?q=Riccardo%20E.%20Zich"> Riccardo E. Zich</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Diving is an important Olympic sport. In this sport, the effective performance of the athlete is related to his capability to interact correctly with the springboard. In fact, the elevation of the jump and the correctness of the dive are influenced by the vibrations of the board. In this paper, the vibrations of the springboard will be analyzed by means of typical tools for vibration analysis: Firstly, a modal analysis will be done on two different models of the springboard, then, these two model and another one will be analyzed with a time analysis, done integrating the equations of motion od deformable bodies. All these analyses will be compared with experimental data measured on a real springboard by means of a 6-axis accelerometer; these measurements are aimed to assess the models proposed. The acquired data will be analyzed both in frequency domain and in time domain. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=springboard%20analysis" title="springboard analysis">springboard analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=modal%20analysis" title=" modal analysis"> modal analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=time%20domain%20analysis" title=" time domain analysis"> time domain analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=vibrations" title=" vibrations"> vibrations</a> </p> <a href="https://publications.waset.org/abstracts/61559/vibrations-of-springboards-mode-shape-and-time-domain-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61559.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">460</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">27802</span> Stable Isotope Analysis of Faunal Remains of Ancient Kythnos Island for Paleoenvironmental Reconstruction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Tassi">M. Tassi</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20Dotsika"> E. Dotsika</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Karalis"> P. Karalis</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Trantalidou"> A. Trantalidou</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Mazarakis%20Ainian"> A. Mazarakis Ainian</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Kythnos Island in Greece is of particular archaeological interest, as it has been inhabited from the 12th BC until the 7th AD. From island excavations, numerous faunal and human skeletal remains have been recovered. This work is the first attempt at the paleoenvironmental reconstruction of the island via stable isotope analysis. Specifically, we perform 13C and 18O isotope analysis in faunal bone apatite in order to investigate the climate conditions that prevailed in the area. Additionally, we conduct 13C and 15N isotope analysis in faunal bone collagen, which will constitute the baseline for the subsequent diet reconstruction of the ancient Kythnos population. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=stable%20isotopes%20analysis" title="stable isotopes analysis">stable isotopes analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=bone%20collagen%20stable%20isotope%20analysis" title=" bone collagen stable isotope analysis"> bone collagen stable isotope analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=bone%20apatite%20stable%20isotope%20analysis" title=" bone apatite stable isotope analysis"> bone apatite stable isotope analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=paleodiet" title=" paleodiet"> paleodiet</a>, <a href="https://publications.waset.org/abstracts/search?q=palaeoclimate" title=" palaeoclimate"> palaeoclimate</a> </p> <a href="https://publications.waset.org/abstracts/151619/stable-isotope-analysis-of-faunal-remains-of-ancient-kythnos-island-for-paleoenvironmental-reconstruction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/151619.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">144</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=sentimental%20analysis&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=sentimental%20analysis&page=3">3</a></li> <li class="page-item"><a class="page-link" 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