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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 2018Show all

8 papers · 1 filter

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.IR2018★ 3 cited

Time-Aware and Corpus-Specific Entity Relatedness

Nilamadhaba Mohapatra, Vasileios Iosifidis, Asif Ekbal +2

Entity relatedness has emerged as an important feature in a plethora of applications such as information retrieval, entity recommendation and entity linking. Given an entity, for i…

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.IR2018★ 7 cited

Feature Assisted bi-directional LSTM Model for Protein-Protein Interaction Identification from Biomedical Texts

Shweta Yadav, Ankit Kumar, Asif Ekbal +2

Knowledge about protein-protein interactions is essential in understanding the biological processes such as metabolic pathways, DNA replication, and transcription etc. However, a m…