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20152023
most citedFighting an Infodemic: COVID-19 Fake News Dataset

273 citations · 567 across the 43 of their papers we have counts for

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Showing 2018 · cs.CLShow all

5 papers · 2 filters

cs.CL2018★ 71 cited

A Deep Ensemble Framework for Fake News Detection and Classification

Arjun Roy, Kingshuk Basak, Asif Ekbal +1

Fake news, rumor, incorrect information, and misinformation detection are nowadays crucial issues as these might have serious consequences for our social fabrics. The rate of such…

cs.CL2018★ 4 cited

Helping each Other: A Framework for Customer-to-Customer Suggestion Mining using a Semi-supervised Deep Neural Network

Hitesh Golchha, Deepak Gupta, Asif Ekbal +1

Suggestion mining is increasingly becoming an important task along with sentiment analysis. In today's cyberspace world, people not only express their sentiments and dispositions t…

cs.CL2018★ 33 cited

A Multi-task Ensemble Framework for Emotion, Sentiment and Intensity Prediction

Md Shad Akhtar, Deepanway Ghosal, Asif Ekbal +2

In this paper, through multi-task ensemble framework we address three problems of emotion and sentiment analysis i.e. "emotion classification & intensity", "valence, arousal & domi…

cs.CL2018

Leveraging Medical Sentiment to Understand Patients Health on Social Media

Shweta Yadav, Joy Sain, Amit Sheth +3

The unprecedented growth of Internet users in recent years has resulted in an abundance of unstructured information in the form of social media text. A large percentage of this pop…

cs.CL2018★ 6 cited

TAP-DLND 1.0 : A Corpus for Document Level Novelty Detection

Tirthankar Ghosal, Amitra Salam, Swati Tiwari +2

Detecting novelty of an entire document is an Artificial Intelligence (AI) frontier problem that has widespread NLP applications, such as extractive document summarization, trackin…