Saif Mohammad
Research Officer, National Research Council Canada

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Recent Publications:

Saif is a Research Officer at the National Research Council Canada (NRC). He received his Ph.D. in Computer Science from University of Toronto. 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.

Google Scholar Profile:

Press Mentions:

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

 

 

Behaviour of Negation Words in Modifying Sentiment. Xiaodan Zhu, Hongyu Guo, Saif Mohammad and Svetlana Kiritchenko. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, June 2014, Baltimore, MD.
Paper (pdf)    BibTeX

State-of-the-Art in Sentiment Analysis of Short Informal Texts. Svetlana Kiritchenko, Xiaodan Zhu and Saif Mohammad. Journal of Artificial Intelligence Research, in press.
Paper (pdf)    BibTeX

Generating Music from Literature. Hannah Davis and Saif M. Mohammad, In Proceedings of the EACL Workshop on Computational Linguistics for Literature, April 2014, Gothenburg, Sweden.
Paper (pdf)    BibTeX

Press Mentions: The Physics arXiv Blog, March 20, 2014.

Experiments with Three Approaches to Recognizing Lexical Entailment. Peter D. Turney, Saif M. Mohammad, Natural Language Engineering, in press.
Paper (pdf)    BibTeX

Using Hashtags to Capture Fine Emotion Categories from Tweets. Saif M. Mohammad, Svetlana Kiritchenko, Computational Intelligence, in press.
Paper (pdf)    BibTeX

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     Poster     Slides

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 44 teams participated.

Identifying Purpose Behind Electoral Tweets, Saif Mohammad, Svetlana Kiritchenko and Joel Martin, In Proceedings of the KDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM-2013), August 2013, Chicago, USA.
Paper (pdf)    BibTeX

Press Mention: article in TIME

Crowdsourcing a Word-Emotion Association Lexicon, Saif Mohammad and Peter Turney, Computational Intelligence, 29 (3), 436-465, 2013.
Paper (pdf)    BibTeX

Press Mentions: article in MIT Technology Review and its Spanish website. Also published in crowdsourcing.org.

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

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   Poster

Computing Lexical Contrast, Saif M. Mohammad, Bonnie J. Dorr, Graeme Hirst, and Peter D. Turney, Computational Linguistics, 39(3), 555-590, 2013.
Paper (pdf)    BibTeX

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

 
 
 
 
   
Last updated: March 2014.