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20132022
most citedDeep Learning for Hate Speech Detection in Tweets

838 citations · 1.1k across the 23 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cs.IR2017★ 48 cited

Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks

Vaibhav Kumar, Dhruv Khattar, Siddhartha Gairola +2

Online media outlets, in a bid to expand their reach and subsequently increase revenue through ad monetisation, have begun adopting clickbait techniques to lure readers to click on…

cs.IR2017

Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction Mention Extraction

Shashank Gupta, Sachin Pawar, Nitin Ramrakhiyani +2

Social media is an useful platform to share health-related information due to its vast reach. This makes it a good candidate for public-health monitoring tasks, specifically for ph…

cs.IR2017

Simultaneous Inference of User Representations and Trust

Shashank Gupta, Pulkit Parikh, Manish Gupta +1

Inferring trust relations between social media users is critical for a number of applications wherein users seek credible information. The fact that available trust relations are s…

cs.CL2017★ 838 cited

Deep Learning for Hate Speech Detection in Tweets

Pinkesh Badjatiya, Shashank Gupta, Manish Gupta +1

Hate speech detection on Twitter is critical for applications like controversial event extraction, building AI chatterbots, content recommendation, and sentiment analysis. We defin…

cs.CL2017

Interpretation of Semantic Tweet Representations

J Ganesh, Manish Gupta, Vasudeva Varma

Research in analysis of microblogging platforms is experiencing a renewed surge with a large number of works applying representation learning models for applications like sentiment…