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20182023
most citedCASCADE: Contextual Sarcasm Detection in Online Discussion Forums

39 citations · 128 across the 13 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CV2018★ 8 cited

Kiki Kills: Identifying Dangerous Challenge Videos from Social Media

Nupur Baghel, Yaman Kumar, Paavini Nanda +3

There has been upsurge in the number of people participating in challenges made popular through social media channels. One of the examples of such a challenge is the Kiki Challenge…

cs.CL2018★ 1 cited

Mind Your Language: Abuse and Offense Detection for Code-Switched Languages

Raghav Kapoor, Yaman Kumar, Kshitij Rajput +3

In multilingual societies like the Indian subcontinent, use of code-switched languages is much popular and convenient for the users. In this paper, we study offense and abuse detec…

cs.SD2018★ 16 cited

Harnessing AI for Speech Reconstruction using Multi-view Silent Video Feed

Yaman Kumar, Mayank Aggarwal, Pratham Nawal +3

Speechreading or lipreading is the technique of understanding and getting phonetic features from a speaker's visual features such as movement of lips, face, teeth and tongue. It ha…

cs.CV2018★ 1 cited

A Multimodal Approach to Predict Social Media Popularity

Mayank Meghawat, Satyendra Yadav, Debanjan Mahata +3

Multiple modalities represent different aspects by which information is conveyed by a data source. Modern day social media platforms are one of the primary sources of multimodal da…

cs.CL2018★ 39 cited

CASCADE: Contextual Sarcasm Detection in Online Discussion Forums

Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla +3

The literature in automated sarcasm detection has mainly focused on lexical, syntactic and semantic-level analysis of text. However, a sarcastic sentence can be expressed with cont…