Professional Community Involvement
Publicity Chair for the 2016 meeting of the 2016 Conference on Empirical Methods on Natural Language Processing. (EMNLP-2016).
Area Chair for Sentiment and Opinion Mining at EMNLP 2016.
Papers
Semeval-2016 Task 6: Detecting Stance in Tweets. Saif M. Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, Xiaodan Zhu, and Colin Cherry. In Proceedings of the International Workshop on Semantic Evaluation (SemEval ’16). June 2016. San Diego, California.
Paper (pdf) BibTeX Task Website
Semeval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases. Svetlana Kiritchenko, Saif M. Mohammad, and Mohammad Salameh. In Proceedings of the International Workshop on Semantic Evaluation (SemEval ’16). June 2016. San Diego, California.
Paper (pdf) BibTeX Task Website
Sentiment Lexicons for Arabic Social Media. Saif M. Mohammad, Mohammad Salameh, and Svetlana Kiritchenko. In Proceedings of the 10th edition of the Language Resources and Evaluation Conference, 23-28 May 2016, Portorož (Slovenia).
Paper (pdf) BibTeX Arabic Sentiment Lexicons
Book Chapter
Sentiment Analysis: Detecting Valence, Emotions, and Other Affectual States from Text. Saif M. Mohammad, Emotion Measurement, 2016.
Pre-print version BibTeX
Interactive Visualization and Paper
Imagisaurus: An Interactive Visualizer of Valence and Emotion in the Roget’s Thesaurus. Saif M.
Mohammad. In Proceedings of the EMNLP 2015
Workshop on Computational Approaches to Subjectivity, Sentiment, and Social
Media (WASSA), September 2015, Lisbon, Portugal.
Paper (pdf) BibTeX Interactive Visualization
Data
The NRC Emotion Lexicon is now available in over 20 languages.
Journal Paper
How Translation Alters Sentiment. Saif M. Mohammad, Mohammad Salameh, and Svetlana Kiritchenko, Journal of Artificial Intelligence Research, , Volume 55, pages 95-130.
Paper (pdf) Pre-print version (pdf) BibTeX Data Arabic Sentiment Lexicons
Professional Community Involvement
I am organizing these shared task competitions under the aegis of SemEval-2016 (see webpage for schedule):
Feel free to contact me if you have any questions regarding these tasks, especially if you are interested in participating.
Paper
Developing a Successful SemEval Task in Sentiment Analysis of Twitter and Other Social Media Texts. Language Resources and Evaluation. January 2016, pages 1-31.
Paper (pdf) Preprint Version BibTeX
Tutorial
Computational Analysis of Affect and Emotion in Language. Saif M. Mohammad and Cecilia Ovesdotter Alm. Tutorial at the 2015
Conference on Empirical Methods on Natural Language Processing, September 2015, Lisboa, Portugal.
Presentation Annotated Bibliography Extended Bibliography Proposal
Paper
SemEval-2015 Task 10: Sentiment Analysis in Twitter.
Sara Rosenthal,
Preslav Nakov,
Svetlana Kiritchenko,
Saif M Mohammad,
Alan Ritter, and
Veselin Stoyanov. In Proceedings of the ninth international workshop on
Semantic Evaluation Exercises (SemEval-2015), June 2015, Denver, Colorado.
Paper (pdf) BibTeX
Sentiment After Translation: A Case-Study on Arabic Social Media Posts. Mohammad Salameh, Saif M Mohammad and Svetlana Kiritchenko, In Proceedings of the North American Chapter of the Association
for Computational Linguistics (NAACL-2015), June 2015, Denver, Colorado.
Paper (pdf) BibTeX Data
Visualization
Explore the interactive visualization for the NRC Word-Emotion Association Lexicon.
Symposium
My N is Ten Million: Using Social Media to Track Emotion, Mental Health, and Measure Personality Across Entire Populations. Gregory J Park, Saif M Mohammad, and Johannes C Eichstaedt. A symposium at the International Convention of Psychological Science (ICPS), March 2015, Amsterdam, The Netherlands.
Tutorial
Sentiment Analysis of Social Media
Texts. Saif M. Mohammad and Xiaodan Zhu. Tutorial at the 2014
Conference on Empirical Methods on Natural Language Processing, October
2014, Doha, Qatar.
Presentation Video Proposal
Professional Community Involvement
I am serving as Publicity Chair for the 2015 meeting of the North American Association for Computational Linguistics (NAACL-2015). I am also the Area Chair for Sentiment and Opinion Mining.
Invited Talk
The Words are Alive: Associations with Sentiment, Emotions, Colours, and Music. Invited talk at Language Technology Institute, Carnegie Mellon University,
September 2014, Pittsburgh, PA.
Presentation Video
Journal Paper
Sentiment, Emotion, Purpose, and Style in Electoral Tweets. Saif M. Mohammad, Svetlana Kiritchenko, Xiaodan Zhu, and Joel Martin. Information Processing and Management, in the press.
Paper (pdf) BibTeX AnnotatedData UnannotatedData
Invited Talk
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
Professional Community Involvement
I am one of the organizers of SemEval-2015 Task 10 - Sentiment Analysis in Twitter. Of special interest to me is subtask E - Determining strength of association of Twitter terms with positive sentiment (or, degree of prior polarity). Task description, trial data, test data, and other details available here.
Journal Paper
Sentiment Analysis of Short Informal Texts. Svetlana
Kiritchenko, Xiaodan Zhu and Saif Mohammad. Journal of Artificial
Intelligence Research, volume 50, pages 723-762, August 2014.
Paper (pdf) BibTeX
Papers
NRC-Canada-2014: Detecting Aspects and Sentiment in Customer
Reviews, Svetlana Kiritchenko, Xiaodan Zhu, Colin Cherry, and
Saif M. Mohammad. In Proceedings of the eighth international workshop on
Semantic Evaluation Exercises (SemEval-2014), August 2014, Dublin, Ireland.
Paper (pdf) BibTeX Poster
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 eighth international workshop on Semantic Evaluation
Exercises (SemEval-2014), August 2014, Dublin, Ireland.
Paper (pdf) BibTeX Poster
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 AnnotatedData UnannotatedData
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.
Journal Papers
Experiments with Three Approaches to Recognizing Lexical
Entailment. Peter D. Turney, Saif M. Mohammad, Natural Language
Engineering, Volume 21, Issue 3, May 2015.
Paper (pdf) BibTeX
Using Hashtags to Capture Fine Emotion Categories from Tweets. Saif M. Mohammad, Svetlana Kiritchenko, Computational Intelligence, Volume 31, Issue 2, Pages 301-326, May 2015.
Paper (pdf) BibTeX
Papers
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 AnnotatedData UnannotatedData
Press Mention: article
in TIME
Journal Papers
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.
Papers
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
Journal Papers
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. Journal of Artificial Intelligence
Research (JAIR), 46, pages 165-201, 2013.
Paper
(pdf) BibTeX |