Saif is a Research Officer at the Institute for Information Technology, National Research Council Canada (NRC).

He received his Ph.D. in Computer Science from University of Toronto in January 2008. He was a Research Associate in the Institute of Advanced Computer Studies at the University of Maryland, College Park, before joining NRC in 2009.

Saif's research interests are in Natural Language Processing, especially Lexical Semantics. He develops computational models for emotion detection, word-colour associations, semantic distance, and lexical-semantic relations such as word-pair antonymy.

NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets, Saif M. Mohammad, Svetlana Kiritchenko, and Xiaodan Zhu, In Proceedings of the seventh international workshop on Semantic Evaluation Exercises (SemEval-2013), June 2013, Atlanta, USA.
Paper (pdf)    BibTeX    System Description and Downloads

Official Rankings: Our team (NRC-Canada) ranked first in detecting sentiment of tweets (task 2B - tweets), first in detecting sentiment of SMS messages (task 2B - SMS), first in detecting sentiment of terms within a tweet (task 2A - tweets), and second in detecting sentiment of terms within an SMS message (task 2A - SMS). About 30 teams participated.

• Publications ordered by date
• Publication ordered by number of citations

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Picture: Palau De La Música Catalana (Palace of Catalan Music)
Architect: Antoni Gaudi

Using Nuances of Emotion to Identify Personality, Saif M. Mohammad and Svetlana Kiritchenko, In Proceedings of the ICWSM Workshop on Computational Personality Recognition, July 2013, Boston, USA.
Paper (pdf)    BibTeX

Computing Lexical Contrast, Saif M. Mohammad, Bonnie J. Dorr, Graeme Hirst, and Peter D. Turney, To appear in Computational Linguistics. 2013.
Paper (pdf)    BibTeX
The single-spaced version is here.

Generating Extractive Summaries of Scientific Paradigms, Vahed Qazvinian, Dragomir R. Radev, Saif M. Mohammad, Bonnie Dorr, David Zajic, Michael Whidby, Taesun Moon. To appear in the Journal of Artificial Intelligence Research (JAIR).
Paper (pdf)    BibTeX

From Once Upon a Time to Happily Ever After: Tracking Emotions in Mail and Books, Saif Mohammad, Decision Support Systems, Volume 53, Issue 4, November 2012, Pages 730–741.
Paper (pdf)    BibTeX

The 2011 NRC technical report is available here: Sentiment Analysis of Mail and Books.

Portable Features for Classifying Emotional Text, Saif Mohammad, In Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, June 2012, Montreal, Canada.
Paper (pdf)    BibTeX

From Once Upon a Time to Happily Ever After: Tracking Emotions in Books and Mail.

• Invited talk at the Big Data and Social Media Workshop, Communications Security Establishment Canada, Ottawa, February 8, 2012.
• Invited talk at Amazon, Social Media group and Digital Books group, Seattle, June 27, 2011.
• Invited talk at Social Media - "Big Data" Analysis Workshop, Defence R&D Canada, Ottawa, Canada.