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Computer Science
Canada
2023

D-Index & Metrics

Computer Science

D-Index
61
Citations
19389
World Ranking
3020
National Ranking
114

Research.com Recognitions

  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2004 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Saif M. Mohammad is affiliated with the National Research Council Canada. Their research principally spans the field of Computer Science, with a significant focus on Artificial Intelligence. Other subfields addressed include Social Psychology, Experimental and Cognitive Psychology, Information Systems, and Statistical and Nonlinear Physics.

Mohammad's work often explores topics such as Sentiment Analysis and Opinion Mining, Topic Modeling, and Natural Language Processing Techniques. Mental Health via Writing and Mental Health Research Topics are also noticeable areas of study. Additionally, they investigate Advanced Text Analysis Techniques and Humor Studies and Applications within their research scope.

The scientist has published extensively, with a frequent presence in venues such as arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), Computational Linguistics, Nature Reviews Psychology, and the Journal of Social and Personal Relationships.

Notable recent publications include:

  • Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysis, 2022, Computational Linguistics
  • Using natural language processing to analyse text data in behavioural science, 2025, Nature Reviews Psychology
  • AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages, 2023, arXiv (Cornell University)
  • Practical and Ethical Considerations in the Effective use of Emotion and Sentiment Lexicons, 2020, arXiv (Cornell University)
  • Examining the language of solitude versus loneliness in tweets, 2021, Journal of Social and Personal Relationships

Collaboration plays a role in their research activities. Frequent co-authors include Jan Philip Wahle, Béla Gipp, Krishnapriya Vishnubhotla, Terry Ruas, and Mahmoud A. Abdalla.

Mohammad has been recognized as a Fellow of the American Association for the Advancement of Science (AAAS) since 2004.

Best Publications

  • CROWDSOURCING A WORD–EMOTION ASSOCIATION LEXICON

    Saif M. Mohammad;Peter D. Turney

  • Emotions Evoked by Common Words and Phrases: Using Mechanical Turk to Create an Emotion Lexicon

    Saif Mohammad;Peter Turney

  • NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets

    Saif Mohammad;Svetlana Kiritchenko;Xiaodan Zhu

  • Sentiment analysis of short informal texts

    Svetlana Kiritchenko;Xiaodan Zhu;Saif M. Mohammad

  • SemEval-2016 Task 6: Detecting Stance in Tweets

    Saif Mohammad;Svetlana Kiritchenko;Parinaz Sobhani;Xiaodan Zhu

  • NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews

    Svetlana Kiritchenko;Xiaodan Zhu;Colin Cherry;Saif Mohammad

  • SemEval-2018 Task 1: Affect in Tweets

    Saif Mohammad;Felipe Bravo-Marquez;Mohammad Salameh;Svetlana Kiritchenko

  • Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words

    Saif Mohammad

  • Emotional Tweets

    Saif Mohammad

  • Using Hashtags to Capture Fine Emotion Categories from Tweets

    Saif M. Mohammad;Svetlana Kiritchenko

  • Stance and Sentiment in Tweets

    Saif M. Mohammad;Parinaz Sobhani;Svetlana Kiritchenko

  • Sentiment Analysis: Detecting Valence, Emotions, and Other Affectual States from Text

    Saif M. Mohammad

  • Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems

    Svetlana Kiritchenko;Saif M. Mohammad

  • SemEval-2015 Task 10: Sentiment Analysis in Twitter

    Sara Rosenthal;Preslav Nakov;Svetlana Kiritchenko;Saif Mohammad

  • Proceedings of The 12th International Workshop on Semantic Evaluation

    Marianna Apidianaki;Saif M. Mohammad;Jonathan May;Ekaterina Shutova

  • Generating High-Coverage Semantic Orientation Lexicons From Overtly Marked Words and a Thesaurus

    Saif Mohammad;Cody Dunne;Bonnie Dorr

  • Sentiment, emotion, purpose, and style in electoral tweets

    Saif M. Mohammad;Xiaodan Zhu;Svetlana Kiritchenko;Joel Martin

  • WASSA-2017 Shared Task on Emotion Intensity

    Saif M. Mohammad;Felipe Bravo-Márquez

  • SemEval-2012 Task 2: Measuring Degrees of Relational Similarity

    David Jurgens;Saif Mohammad;Peter Turney;Keith Holyoak

  • Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)

    Steven Bethard;Marine Carpuat;Marianna Apidianaki;Saif M. Mohammad

  • SemEval-2015 Task 10: Sentiment Analysis in Twitter

    Sara Rosenthal;Saif M Mohammad;Preslav Nakov;Alan Ritter

Frequent Co-Authors

Svetlana Kiritchenko
Svetlana Kiritchenko National Research Council Canada
Xiaodan Zhu
Xiaodan Zhu Queen's University
Bonnie J. Dorr
Bonnie J. Dorr University of Florida
Graeme Hirst
Graeme Hirst University of Toronto
Peter D. Turney
Peter D. Turney Ronin Institute
Colin Cherry
Colin Cherry Google (Canada)
Dragomir R. Radev
Dragomir R. Radev Yale University
Preslav Nakov
Preslav Nakov Mohamed bin Zayed University of Artificial Intelligence
Steven Bethard
Steven Bethard University of Arizona
Robert J. Coplan
Robert J. Coplan Carleton University

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