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20162026
most citedDeep Learning for Hate Speech Detection in Tweets

838 citations · 968 across the 27 of their papers we have counts for

collaborators
Showing 2018Show all

6 papers · 1 filter

cs.SI2018★ 1 cited

Elites Tweet? Characterizing the Twitter Verified User Network

Indraneil Paul, Abhinav Khattar, Ponnurangam Kumaraguru +2

Social network and publishing platforms, such as Twitter, support the concept of verification. Verified accounts are deemed worthy of platform-wide public interest and are separate…

cs.LG2018★ 3 cited

Attention-based Neural Text Segmentation

Pinkesh Badjatiya, Litton J Kurisinkel, Manish Gupta +1

Text segmentation plays an important role in various Natural Language Processing (NLP) tasks like summarization, context understanding, document indexing and document noise removal…

cs.CY2018★ 2 cited

Under the Shadow of Sunshine: Characterizing Spam Campaigns Abusing Phone Numbers Across Online Social Networks

Srishti Gupta, Dhruv Kuchhal, Payas Gupta +3

Cybercriminals abuse Online Social Networks (OSNs) to lure victims into a variety of spam. Among different spam types, a less explored area is OSN abuse that leverages the telephon…

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.LG2018★ 3 cited

Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information

Madhav Nimishakavi, Bamdev Mishra, Manish Gupta +1

Low rank tensor completion is a well studied problem and has applications in various fields. However, in many real world applications the data is dynamic, i.e., new data arrives at…