Review Paper on Hate Speech Detection
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This is a review paper on the topic “Hate Speech Detection”. One of the main disadvantages of social media is the way it is used to spread hate. This hate can affect an individual or a group in different ways like, degrading their mental health leading to anxiety and depression. This can lead to suicides or homicide. So it is very important to control how a platform can be used in spreading a particular message. To do this we have to identify the hate speech content automatically, this can be done with the help of techniques in machine learning and deep learning. We have reviewed few papers that deal with the different methodologies of detecting hate speech in a given text
Convolutional Neural Networks for Hate Speech Detection Against Women and Immigrants on Twitter. Alison P. Ribeiro and Nadia F. F. da Silva
https://www.aclweb.org/anthology/S19-2074.pdf
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Identifying Hateful Tweets with a Deep Learning Approach. Gretel Liz De la Pena Sarrac ˜ en
https://www.aclweb.org/anthology/S19-2073.pdf
A Neural Network Model for Detecting Hate Speech in Twitter, Umme Aymun Siddiqua, Abu Nowshed Chy and Masaki Aono
https://www.aclweb.org/anthology/S19-2064.pdf
Categorizing Offensive Language in social media, Ritesh Kumar, Guggilla Bhanodai, Rajendra Pamula and M. R. Chennuru
https://www.aclweb.org/anthology/S19-2098.pdf
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