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.

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

• 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.

Even the Abstract have Colour: Consensus in WordColour Associations, Saif Mohammad, In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, June 2011, Portland, OR.
Paper (pdf)    BibTeX

Tracking Sentiment in Mail: How Genders Differ on Emotional Axes, Saif Mohammad and Tony Yang, In Proceedings of the ACL 2011 Workshop on ACL 2011 Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA), June 2011, Portland, OR.
Paper (pdf)    BibTeX     Presentation