activity
20172021
most citedTopical Stance Detection for Twitter: A Two-Phase LSTM Model Using Attention

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL20211 cited

"Laughing at you or with you": The Role of Sarcasm in Shaping the Disagreement Space

Debanjan Ghosh, Ritvik Shrivastava, Smaranda Muresan

Detecting arguments in online interactions is useful to understand how conflicts arise and get resolved. Users often use figurative language, such as sarcasm, either as persuasive…

cs.SI2018

Topic Lifecycle on Social Networks: Analyzing the Effects of Semantic Continuity and Social Communities

Kuntal Dey, Saroj Kaushik, Kritika Garg +1

Topic lifecycle analysis on Twitter, a branch of study that investigates Twitter topics from their birth through lifecycle to death, has gained immense mainstream research populari…

cs.CL20181 cited

Topical Stance Detection for Twitter: A Two-Phase LSTM Model Using Attention

Kuntal Dey, Ritvik Shrivastava, Saroj Kaushik

The topical stance detection problem addresses detecting the stance of the text content with respect to a given topic: whether the sentiment of the given text content is in FAVOR o…

cs.CL2017

EmTaggeR: A Word Embedding Based Novel Method for Hashtag Recommendation on Twitter

Kuntal Dey, Ritvik Shrivastava, Saroj Kaushik +1

The hashtag recommendation problem addresses recommending (suggesting) one or more hashtags to explicitly tag a post made on a given social network platform, based upon the content…

cs.DB2017

A Big Data Analysis Framework Using Apache Spark and Deep Learning

Anand Gupta, Hardeo Thakur, Ritvik Shrivastava +2

With the spreading prevalence of Big Data, many advances have recently been made in this field. Frameworks such as Apache Hadoop and Apache Spark have gained a lot of traction over…