[PDF] Top 20 Predictive Embeddings for Hate Speech Detection on Twitter

... like Twitter for both personal and politi- cal communication (Lapowsky, 2017) has seen a well-acknowledged rise in the presence of toxic and abusive speech on these platforms (Hillard, 2018; Drum, ...forbid ... See full document

... In this article, we described our approach to detect (1) Hate Speech Detection against immigrants and women; (2) aggressive behavior and target on the Twitter corpus. We submitted two ... See full document

... detect hate speech against two specific targets, immigrants and ...level embeddings on the state-of-the-art classification ...Of Speech features to further investigate the performance of these ... See full document

... to hate speech detection, in particular Support Vector Machines (SVM) and Logistic Regression ...words embeddings and showed these to outperform character and word ... See full document

... Gender Following the indication that gen- der can positively influence classification scores (Waseem and Hovy, 2016), we compute the gender of the users in our data set. To counteract the low coverage in Waseem and Hovy ... See full document

... Given the raw Twitter messages, several steps of pre-processing are applied. First we follow the suggestions of Pennington et al. (2014), which involves the replacement of certain char- acters by tags. User ... See full document

... online hate speech is a growing phe- nomenon (Sood et ...constitutes hate speech (Ma, 2015). Considering that hate speech is not evenly distributed in the United States of ... See full document

... In this paper we have evaluated a few simple neu- ral network models in a monolingual and multilin- gual context. We have included our unsuccessful models to inspire further research in this direction. We conclude that ... See full document

... as Twitter, Facebook, Youtube and community fo- rums has created a variety of novel ways for all of us to communicate with each other, but this op- portunity to freely communicate online has unfor- tunately also ... See full document

... Hate speech has become a major issue that is currently a hot topic in the domain of social ...a hate speech corpus from ...available hate speech evaluation ... See full document

... of hate speech. We retrieved 1,12,718 tweets from Twitter in json format, which consists of informa- tion such as timestamp, URL, text, user, re-tweets, replies, full name, id and ... See full document

... (Hate speech detection) is a two-class clas- sification where systems have to predict whether a tweet in English or in Spanish with a given target (women or immigrants) is hateful or not ...where ... See full document

... GSI-UPM hate speech detection system presented to participate in SemEval-2019 Task 5, which revolves around an- alyzing text messages from ...of hate speech ... See full document

... Hate speech research has been conducted exten- sively for the English ...of hate speech detection were (Yin and Davison, 2009) who used a linear SVM classifier to iden- tify posts ... See full document

... A robust body of work has emerged trying to ad- dress the problem of hate speech and abusive lan- guage on social media (Schmidt and Wiegand, 2017). Many datasets have been created, but most are either ... See full document

... a hate speech has a certain target, category, and level. Hate speeches can belong to a certain category such as ethnicity, religion, race, sexual orienta- tion, ...and hate speech de- ... See full document

... gual detection of hate speech against immi- grants and women in Twitter ...two hate speech detection model variants through Tw-StAR ...n-gram embeddings within a ... See full document

... Hate speech and abusive language have be- come a common phenomenon on Arabic so- cial ...Automatic hate speech and abusive detection systems can facilitate the prohibition of toxic ... See full document

... multilingual hate speech identification performance when we combine the standard translated method with monolingual hate speech ...monolingual hate speech identification, while ... See full document

... Word Embeddings on tweets have been widely adopted as input fea- ...investigated Twitter-driven preprocessing procedures such as hashtag segmentation, slang conversion in correct English and emoji transla- ... See full document