Saif M. Mohammad

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Svetlana KiritchenkoNational Research Council CanadaVerified email at nrc-cnrc.gc.ca
Xiaodan ZhuECE & Ingenuity Labs Research Institute, Queen's University, CanadaVerified email at queensu.ca
Peter TurneyRonin InstituteVerified email at ronininstitute.org
Bonnie DorrUniversity of Florida, IHMC, UMDVerified email at ufl.edu
Graeme HirstProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Felipe Bravo-MarquezAssistant Professor, University of ChileVerified email at dcc.uchile.cl
Preslav NakovMBZUAIVerified email at mbzuai.ac.ae
Mohammad SalamehPrincipal Researcher, Huawei TechnologiesVerified email at ualberta.ca
Colin CherryGoogle ResearchVerified email at google.com
Parinaz SobhaniVerified email at uottawa.ca
Sara RosenthalIBM ResearchVerified email at cs.columbia.edu
Alan RitterGeorgia Institute of TechnologyVerified email at cc.gatech.edu
Veselin StoyanovTome AIVerified email at fb.com
Vahed QazvinianPraisidio; Google; University of Michigan, Ann ArborVerified email at google.com
Dragomir RadevProfessor, Computer Science, Yale UniversityVerified email at yale.edu
Joel MartinNational Research CouncilVerified email at nrc-cnrc.gc.ca
Ekaterina ShutovaILLC, University of AmsterdamVerified email at berkeley.edu
Berry de BruijnNational Research CouncilVerified email at nrc-cnrc.gc.ca
David JurgensAssociate Professor, School of Information and Dept. of Computer Science, University of MichiganVerified email at umich.edu
Jan Philip WahleUniversity of Göttingen (Prev: NRC Canada)Verified email at uni-goettingen.de

Saif M. Mohammad

Senior Research Scientist (Emotions and Language, Affective Science, NLP), National Research Council

Verified email at nrc-cnrc.gc.ca - Homepage

Natural Language Processing Lexical Semantics Emotion Analysis Emotion Recognition Sentiment Analysis


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Crowdsourcing a word–emotion association lexicon SM Mohammad, PD Turney Computational intelligence 29 (3), 436-465, 2013	2541	2013
SemEval-2015 Task 10: Sentiment Analysis in Twitter VS Sara Rosenthal, Preslav Nakov, Svetlana Kiritchenko, Saif M. Mohammad ... arXiv:1912.02387, https://www.aclweb.org/anthology/S15-207, 2015	1372*	2015
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets SM Mohammad, S Kiritchenko, X Zhu SemEval-2013, 2013	1292	2013
Emotions evoked by common words and phrases: Using mechanical turk to create an emotion lexicon S Mohammad, P Turney Proceedings of the NAACL HLT 2010 workshop on computational approaches to …, 2010	1233	2010
Sentiment analysis of short informal texts S Kiritchenko, X Zhu, SM Mohammad Journal of Artificial Intelligence Research 50, 723-762, 2014	1054	2014
Semeval-2016 task 6: Detecting stance in tweets S Mohammad, S Kiritchenko, P Sobhani, X Zhu, C Cherry Proceedings of the 10th international workshop on semantic evaluation …, 2016	866	2016
NRC-Canada-2014: Detecting aspects and sentiment in customer reviews S Kiritchenko, X Zhu, C Cherry, S Mohammad Proceedings of the 8th international workshop on semantic evaluation …, 2014	787	2014
Semeval-2018 task 1: Affect in tweets S Mohammad, F Bravo-Marquez, M Salameh, S Kiritchenko Proceedings of the 12th international workshop on semantic evaluation, 1-17, 2018	748	2018
Obtaining reliable human ratings of valence, arousal, and dominance for 20,000 English words S Mohammad Proceedings of the 56th annual meeting of the association for computational …, 2018	540	2018
Stance and sentiment in tweets SM Mohammad, P Sobhani, S Kiritchenko ACM Transactions on Internet Technology (TOIT) 17 (3), 1-23, 2017	531	2017
Sentiment analysis: Detecting valence, emotions, and other affectual states from text SM Mohammad Emotion measurement, 201-237, 2016	513	2016
Using hashtags to capture fine emotion categories from tweets SM Mohammad, S Kiritchenko Computational Intelligence 31 (2), 301-326, 2015	476	2015
Semeval-2015 task 10: Sentiment analysis in twitter S Rosenthal, P Nakov, S Kiritchenko, S Mohammad, A Ritter, V Stoyanov Proceedings of the 9th international workshop on semantic evaluation …, 2015	468	2015
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022	450	2022
From once upon a time to happily ever after: Tracking emotions in mail and books SM Mohammad Decision Support Systems 53 (4), 730-741, 2012	412	2012
Examining gender and race bias in two hundred sentiment analysis systems S Kiritchenko, SM Mohammad arXiv preprint arXiv:1805.04508, 2018	403	2018
NRC Emotion Lexicon SM Mohammad, PD Turney National Research Council, Canada 2, 2013	392	2013
Word affect intensities SM Mohammad arXiv preprint arXiv:1704.08798, 2017	380	2017
Generating high-coverage semantic orientation lexicons from overtly marked words and a thesaurus S Mohammad, C Dunne, B Dorr Proceedings of the 2009 conference on empirical methods in natural language …, 2009	317	2009
#Emotional Tweets SM Mohammad StarSem, 2012	305	2012

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