Detecting Hate Speech And Cyberbullying Using Natural Language Processing

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Cyberbullying Using Natural Language Processing</title> <meta name="description" content="Detecting Hate Speech And Cyberbullying Using Natural Language Processing"> <meta name="keywords" content="aggression, classifiers, cyberbullying, datasets, hate speech, machine learning"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img 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publication-listing mt-3 mb-3"> <h5 class="card-header" style="font-size:.9rem">Detecting Hate Speech And Cyberbullying Using Natural Language Processing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=N%C3%A1dia%20Pereira">N谩dia Pereira</a>, <a href="https://publications.waset.org/abstracts/search?q=Paula%20Ferreira"> Paula Ferreira</a>, <a href="https://publications.waset.org/abstracts/search?q=Sofia%20Francisco"> Sofia Francisco</a>, <a href="https://publications.waset.org/abstracts/search?q=Sofia%20Oliveira"> Sofia Oliveira</a>, <a href="https://publications.waset.org/abstracts/search?q=Sidclay%20Souza"> Sidclay Souza</a>, <a href="https://publications.waset.org/abstracts/search?q=Paula%20Paulino"> Paula Paulino</a>, <a href="https://publications.waset.org/abstracts/search?q=Ana%20Margarida%20Veiga%20Sim%C3%A3o"> Ana Margarida Veiga Sim茫o</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Social media has progressed into a platform for hate speech among its users, and thus, there is an increasing need to develop automatic detection classifiers of offense and conflicts to help decrease the prevalence of such incidents. Online communication can be used to intentionally harm someone, which is why such classifiers could be essential in social networks. A possible application of these classifiers is the automatic detection of cyberbullying. Even though identifying the aggressive language used in online interactions could be important to build cyberbullying datasets, there are other criteria that must be considered. Being able to capture the language, which is indicative of the intent to harm others in a specific context of online interaction is fundamental. Offense and hate speech may be the foundation of online conflicts, which have become commonly used in social media and are an emergent research focus in machine learning and natural language processing. This study presents two Portuguese language offense-related datasets which serve as examples for future research and extend the study of the topic. The first is similar to other offense detection related datasets and is entitled Aggressiveness dataset. The second is a novelty because of the use of the history of the interaction between users and is entitled the Conflicts/Attacks dataset. Both datasets were developed in different phases. Firstly, we performed a content analysis of verbal aggression witnessed by adolescents in situations of cyberbullying. Secondly, we computed frequency analyses from the previous phase to gather lexical and linguistic cues used to identify potentially aggressive conflicts and attacks which were posted on Twitter. Thirdly, thorough annotation of real tweets was performed byindependent postgraduate educational psychologists with experience in cyberbullying research. Lastly, we benchmarked these datasets with other machine learning classifiers. <iframe src="https://publications.waset.org/abstracts/142382.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aggression" title="aggression">aggression</a>, <a href="https://publications.waset.org/abstracts/search?q=classifiers" title=" classifiers"> classifiers</a>, <a href="https://publications.waset.org/abstracts/search?q=cyberbullying" title=" cyberbullying"> cyberbullying</a>, <a href="https://publications.waset.org/abstracts/search?q=datasets" title=" datasets"> datasets</a>, <a href="https://publications.waset.org/abstracts/search?q=hate%20speech" title=" hate speech"> hate speech</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a> </p> <a 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Detecting Hate Speech And Cyberbullying Using Natural Language Processing