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20132022
most citedDeep Learning for Hate Speech Detection in Tweets

838 citations · 990 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.IR2018

SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection

Vaibhav Kumar, Mrinal Dhar, Dhruv Khattar +4

In order to expand their reach and increase website ad revenue, media outlets have started using clickbait techniques to lure readers to click on articles on their digital platform…

cs.IR2018

Multi-Task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets

Shashank Gupta, Manish Gupta, Vasudeva Varma +3

Adverse drug reactions (ADRs) are one of the leading causes of mortality in health care. Current ADR surveillance systems are often associated with a substantial time lag before su…

cs.IR2018

Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets

Shashank Gupta, Manish Gupta, Vasudeva Varma +3

Adverse drug reactions (ADRs) are one of the leading causes of mortality in health care. Current ADR surveillance systems are often associated with a substantial time lag before su…

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…