activity
20172021
most citedDeep Learning for Hate Speech Detection in Tweets

838 citations · 851 across the 5 of their papers we have counts for

collaborators
Showing cs.IRShow all

5 papers · 1 filter

cs.IR2018

CIMTDetect: A Community Infused Matrix-Tensor Coupled Factorization Based Method for Fake News Detection

Shashank Gupta, Raghuveer Thirukovalluru, Manjira Sinha +1

Detecting whether a news article is fake or genuine is a crucial task in today's digital world where it's easy to create and spread a misleading news article. This is especially tr…

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…