Saif is a Research Officer at the Institute for Information Tech-nology, 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.

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.
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#Emotional Tweets, Saif Mohammad, In Proceedings of the First Joint Conference on Lexical and Computational Semantics (*Sem), June 2012, Montreal, Canada.
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From Once Upon a Time to Happily Ever After: Tracking Emotions in Mail and Books, Saif Mohammad, Decision Support Systems, In press.
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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.