Saif M. Mohammad
Research Officer, National Research Council Canada
   

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Picture: Palau De La Música Catalana (Palace of Catalan Music). Architect: Antoni Gaudi.
Sa(i)fe Place links contact info. resume publications research (MSc) research (PhD) meet Saif pictures

Bio:

 

Recent News and Publications:

Dr. Saif Mohammad is a Research Officer at the National Research Council Canada (NRC). He received his Ph.D. in Computer Science from the University of Toronto. His research interests are in Computational Linguistics and Natural Language Processing, especially Lexical Semantics. He develops computational models for sentiment analysis, emotion detection, semantic distance, and lexical-semantic relations such as word-pair antonymy. His team has developed a sentiment analysis system which ranked first in recent SemEval shared tasks on the sentiment analysis of tweets and on aspect-based sentiment analysis. His word-emotion association resource, the NRC Emotion Lexicon, is widely used for text analysis and information visualization. His recent work on generating music from emotions in text is garnering widespread media attention, including articles in Time, LiveScience, io9, The Physics arXiv Blog, PC World, and Popular Science.

Google Scholar Profile:

Notable Press Mentions:

 

 

 

Words: Evaluative, Emotional, Colourful, Musical! Keynote speech at the ACL 2014 Workshop on Computational Approaches to Subjectivity, Sentiment, and Social Media (WASSA), June 27, 2014, Baltimore, MD.
Presentation

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

NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews, Svetlana Kiritchenko, Xiaodan Zhu, Colin Cherry, and Saif M. Mohammad. In Proceedings of the eigth international workshop on Semantic Evaluation Exercises (SemEval-2014), August 2014, Dublin, Ireland.
Paper (pdf)    BibTeX

Official Rankings: Our team (NRC-Canada) ranked first in three of the six subtasks. About 30 teams participated.

NRC-Canada-2014: Recent Improvements in Sentiment Analysis of Tweets, Xiaodan Zhu, Svetlana Kiritchenko, and Saif M. Mohammad. In Proceedings of the eigth international workshop on Semantic Evaluation Exercises (SemEval-2014), August 2014, Dublin, Ireland.
Paper (pdf)    BibTeX

Official Rankings: Our team (NRC-Canada) ranked first in five of the ten subtask-domain combinations. About 40 teams participated.

An Empirical Study on the Effect of Negation Words on 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

Semantic Role Labeling of Emotions in Tweets. Saif M. Mohammad, Xiaodan Zhu, and Joel Martin, In Proceedings of the ACL 2014 Workshop on Computational Approaches to Subjectivity, Sentiment, and Social Media (WASSA), June 2014, Baltimore, MD.
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    TransProse Website

Notable Press Mentions: The Physics arXiv Blog, March 20, 2014, TIME, May 7, 2014, PC World, May 15, 2014, Popular Science, May 14, 2014, io9, May 12, 2014, LiveScience, May 11, 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: May 2014.