World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
7169
World Ranking
11972
National Ranking
4888

Overview

Ahmed Abbasi is affiliated with the University of Notre Dame in the United States. Their research primarily spans the field of computer science with a focus on artificial intelligence, sociology and political science, information systems, social psychology, and experimental and cognitive psychology.

Their work covers several key topics including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Mental Health via Writing
  • Mental Health Research Topics
  • Digital Mental Health Interventions
  • Sentiment Analysis and Opinion Mining
  • Spam and Phishing Detection

Ahmed Abbasi's frequent publication venues reflect a strong presence in both computer science and information systems communities. These include:

  • arXiv (Cornell University)
  • Information Systems Research
  • MIS Quarterly
  • ACM Transactions on Information Systems
  • SSRN Electronic Journal

Their recent published papers comprise:

  • The Phishing Funnel Model: A Design Artifact to Predict User Susceptibility to Phishing Websites, 2021, Information Systems Research
  • Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Getting Personal: A Deep Learning Artifact for Text-Based Measurement of Personality, 2022, Information Systems Research
  • A Deep Learning Architecture for Psychometric Natural Language Processing, 2020, ACM Transactions on Information Systems
  • Path to Purpose? How Online Customer Journeys Differ for Hedonic Versus Utilitarian Purchases, 2020, Journal of Marketing

Frequent collaborators in their research include:

  • David G. Dobolyi
  • Gari D. Clifford
  • Zifan Jiang
  • Salman Seyedi
  • Emily Griner

Best Publications

  • Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums

    Ahmed Abbasi;Hsinchun Chen;Arab Salem

  • Big Data Research in Information Systems: Toward an Inclusive Research Agenda

    Ahmed Abbasi;Suprateek Sarker;Suprateek Sarker;Roger H.L. Chiang

  • Applying authorship analysis to extremist-group Web forum messages

    A. Abbasi;H. Chen

  • Writeprints: A stylometric approach to identity-level identification and similarity detection in cyberspace

    Ahmed Abbasi;Hsinchun Chen

  • Metafraud: a meta-learning framework for detecting financial fraud

    Ahmed Abbasi;Conan Albrecht;Anthony Vance;James Hansen

  • Advanced Customer Analytics: Strategic Value Through Integration of Relationship-Oriented Big Data

    Brent Kitchens;David G. Dobolyi;Jingjing Li;Ahmed Abbasi

  • Detecting fake websites: the contribution of statistical learning theory

    Ahmed Abbasi;Zhu Zhang;David Zimbra;Hsinchun Chen

  • Selecting Attributes for Sentiment Classification Using Feature Relation Networks

    Ahmed Abbasi;Zhu Zhang;Hsinchun Chen

  • The State-of-the-Art in Twitter Sentiment Analysis: A Review and Benchmark Evaluation

    David Zimbra;Ahmed Abbasi;Daniel Zeng;Hsinchun Chen

  • CyberGate: a design framework and system for text analysis of computer-mediated communication

    Ahmed Abbasi;Hsinchun Chen

  • Twitter Sentiment Analysis: A Bootstrap Ensemble Framework

    Ammar Hassan;Ahmed Abbasi;Daniel Zeng

  • Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts

    Unknown

  • Affect Analysis of Web Forums and Blogs Using Correlation Ensembles

    A. Abbasi;Hsinchun Chen;S. Thoms;Tianjun Fu

  • Affect Intensity Analysis of Dark Web Forums

    A. Abbasi

  • A focused crawler for Dark Web forums

    Unknown

  • A focused crawler for Dark Web forums

    Tianjun Fu;Ahmed Abbasi;Hsinchun Chen

  • Text Analytics to Support Sense-Making in Social Media: A Language-Action Perspective

    Ahmed Abbasi;Yili Zhou;Shasha Deng;Pengzhu Zhang

  • Fake-Website Detection Tools: Identifying Elements That Promote Individuals' Use and Enhance Their Performance

    Fatemeh Mariam Zahedi;Ahmed Abbasi;Yan Chen

  • Enhancing Predictive Analytics for Anti-Phishing by Exploiting Website Genre Information

    Ahmed Abbasi;Fatemeh Mariam Zahedi;Daniel Zeng;Yan Chen

  • Visualizing authorship for identification

    Ahmed Abbasi;Hsinchun Chen

  • Benchmarking Twitter Sentiment Analysis Tools

    Ahmed Abbasi;Ammar Hassan;Milan Dhar

  • Descriptive Analytics: Examining Expert Hackers in Web Forums

    Ahmed Abbasi;Weifeng Li;Victor Benjamin;Shiyu Hu

  • Detecting Fake Medical Web Sites Using Recursive Trust Labeling

    Ahmed Abbasi;Fatemeh “Mariam” Zahedi;Siddharth Kaza

  • Social Media Analytics for Smart Health

    Ahmed Abbasi;Donald Adjeroh;Mark Dredze;Michael J. Paul

  • Intelligent Feature Selection for Opinion Classification.

    Ahmed Abbasi

  • Stylometric Identification in Electronic Markets: Scalability and Robustness

    Ahmed Abbasi;Hsinchun Chen;Jay Nunamaker

Frequent Co-Authors

Hsinchun Chen
Hsinchun Chen University of Arizona
Donald A. Adjeroh
Donald A. Adjeroh West Virginia University
Daniel Zeng
Daniel Zeng Chinese Academy of Sciences
Fatemeh Zahedi
Fatemeh Zahedi University of Wisconsin–Milwaukee
Gari D. Clifford
Gari D. Clifford Emory University
Donald E. Brown
Donald E. Brown University of Virginia
Raymond Y. K. Lau
Raymond Y. K. Lau City University of Hong Kong
Jay F. Nunamaker
Jay F. Nunamaker University of Arizona
Suprateek Sarker
Suprateek Sarker University of Virginia
Xiaobo Zhou
Xiaobo Zhou The University of Texas Health Science Center at Houston

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