World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
10085
World Ranking
5352
National Ranking
48

Overview

Asif Ekbal is affiliated with the Indian Institute of Technology Patna in India. Their primary field of study is Computer Science, with a substantial focus on various subfields such as Artificial Intelligence, Information Systems, Sociology and Political Science, Social Psychology, and Computer Vision and Pattern Recognition.

The research topics frequently addressed by Asif Ekbal include:

  • Topic Modeling
  • Sentiment Analysis and Opinion Mining
  • Natural Language Processing Techniques
  • Misinformation and Its Impacts
  • Hate Speech and Cyberbullying Detection
  • Speech and Dialogue Systems
  • Advanced Text Analysis Techniques

Asif Ekbal has published extensively in notable venues. The most frequent publication platforms are:

  • arXiv (Cornell University)
  • IEEE Transactions on Computational Social Systems
  • Knowledge-Based Systems
  • Multimedia Tools and Applications
  • ACM Transactions on Asian and Low-Resource Language Information Processing

Some of the recent research papers authored or coauthored by Asif Ekbal include:

  • "How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble [Application Notes]", 2020, IEEE Computational Intelligence Magazine
  • "A deep neural network based multi-task learning approach to hate speech detection", 2020, Knowledge-Based Systems
  • "AMFB: Attention based multimodal Factorized Bilinear Pooling for multimodal Fake News Detection", 2021, Expert Systems with Applications
  • "Multi-task learning for aspect term extraction and aspect sentiment classification", 2020, Neurocomputing
  • "A Multitask Framework to Detect Depression, Sentiment and Multi-label Emotion from Suicide Notes", 2021, Cognitive Computation

Frequent coauthors collaborating with Asif Ekbal are:

  • Pushpak Bhattacharyya
  • Mauajama Firdaus
  • Tirthankar Ghosal
  • Soumitra Ghosh
  • Gopendra Vikram Singh

Regarding scholarly books, Asif Ekbal has contributed to multiple volumes mainly published by Springer Science+Business Media. These include several editions of "Neural Information Processing" released in 2023. Additionally, there is a publication titled "Dive into Misinformation Detection" published in 2024 as part of The "information retrieval series".

Best Publications

  • The CHEMDNER corpus of chemicals and drugs and its annotation principles.

    Martin Krallinger;Obdulia Rabal;Florian Leitner;Miguel Vazquez

  • Fighting an Infodemic: COVID-19 Fake News Dataset.

    Parth Patwa;Shivam Sharma;Srinivas Pykl;Vineeth Guptha

  • How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble [Application Notes]

    Shad Akhtar;Asif Ekbal;Erik Cambria

  • Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis

    Shad Akhtar;Dushyant Singh Chauhan;Deepanway Ghosal;Soujanya Poria

  • Feature selection and ensemble construction

    Shad Akhtar;Deepak Gupta;Asif Ekbal;Pushpak Bhattacharyya

  • Contextual Inter-modal Attention for Multi-modal Sentiment Analysis

    Deepanway Ghosal;Shad Akhtar;Dushyant Chauhan;Soujanya Poria

  • Named Entity Recognition using Support Vector Machine: A Language Independent Approach

    Asif Ekbal;Sivaji Bandyopadhyay

  • A deep neural network based multi-task learning approach to hate speech detection

    Prashant Kapil;Asif Ekbal

  • Combining multiple classifiers using vote based classifier ensemble technique for named entity recognition

    Sriparna Saha;Asif Ekbal

  • Bengali Named Entity Recognition Using Support Vector Machine

    Asif Ekbal;Sivaji Bandyopadhyay

  • Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis

    Dushyant Singh Chauhan;Dhanush S R;Asif Ekbal;Pushpak Bhattacharyya

  • IARM: Inter-aspect relation modeling with memory networks in aspect-based sentiment analysis

    Navonil Majumder;Soujanya Poria;Alexander Gelbukh;Shad Akhtar

  • AMFB: Attention based multimodal Factorized Bilinear Pooling for multimodal Fake News Detection

    Rina Kumari;Asif Ekbal

  • Multi-task learning for aspect term extraction and aspect sentiment classification

    Shad Akhtar;Tarun Garg;Asif Ekbal

  • All-in-One: Emotion, Sentiment and Intensity Prediction using a Multi-task Ensemble Framework

    Shad Akhtar;Deepanway Ghosal;Asif Ekbal;Pushpak Bhattacharyya

  • A Hybrid Deep Learning Architecture for Sentiment Analysis

    Shad Akhtar;Ayush Kumar;Asif Ekbal;Pushpak Bhattacharyya

  • Language Independent Named Entity Recognition in Indian Languages

    Asif Ekbal;Rejwanul Haque;Amitava Das;Venkateswarlu Poka

  • Borrow from rich cousin: transfer learning for emotion detection using cross lingual embedding

    Zishan Ahmad;Raghav Jindal;Asif Ekbal;Pushpak Bhattachharyya

  • A Modified Joint Source-Channel Model for Transliteration

    Asif Ekbal;Sudip Kumar Naskar;Sivaji Bandyopadhyay

  • A web-based Bengali news corpus for named entity recognition

    Asif Ekbal;Sivaji Bandyopadhyay

  • Overview of CONSTRAINT 2021 Shared Tasks: Detecting English COVID-19 Fake News and Hindi Hostile Posts

    Parth Patwa;Mohit Bhardwaj;Vineeth Guptha;Gitanjali Kumari

  • A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis

    Shad Akhtar;Abhishek Kumar;Deepanway Ghosal;Asif Ekbal

  • Fighting an Infodemic: COVID-19 Fake News Dataset

    Parth Patwa;Shivam Sharma;Shivam Sharma;Srinivas Pykl;Vineeth Guptha

Frequent Co-Authors

Pushpak Bhattacharyya
Pushpak Bhattacharyya Indian Institute of Technology Patna
Sivaji Bandyopadhyay
Sivaji Bandyopadhyay Jadavpur University
Massimo Poesio
Massimo Poesio Queen Mary University of London
Soujanya Poria
Soujanya Poria Nanyang Technological University
Andy Way
Andy Way Dublin City University
Sadao Kurohashi
Sadao Kurohashi Kyoto University
Chris Biemann
Chris Biemann Universität Hamburg
Sanghamitra Bandyopadhyay
Sanghamitra Bandyopadhyay Indian Statistical Institute
Louis-Philippe Morency
Louis-Philippe Morency Carnegie Mellon University
George Tsatsaronis
George Tsatsaronis Technical University of Berlin

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