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 TurneyApperceptual.comVerified email at apperceptual.com
Graeme HirstProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Bonnie DorrUniversity of Florida, IHMC, UMDVerified email at ufl.edu
Felipe Bravo-MarquezAssociate Professor, University of ChileVerified email at dcc.uchile.cl
Mohammad SalamehPrincipal Researcher, Huawei TechnologiesVerified email at ualberta.ca
Colin CherryGoogle ResearchVerified email at google.com
Parinaz SobhaniVerified email at uottawa.ca
Preslav NakovMohamed bin Zayed University of Artificial Intelligence (MBZUAI)Verified email at mbzuai.ac.ae
Sara RosenthalIBM ResearchVerified email at cs.columbia.edu
Ekaterina ShutovaILLC, University of AmsterdamVerified email at berkeley.edu
Krishnapriya VishnubhotlaUniversity of TorontoVerified email at cs.toronto.edu
Joel MartinNational Research CouncilVerified email at nrc-cnrc.gc.ca
Mohamed AbdallaUniversity of AlbertaVerified email at ualberta.ca
Jan Philip WahleUniversity of Göttingen (Prev: NRC Canada)Verified email at uni-goettingen.de
Terry RuasUniversity of Göttingen (Prev: Uni. of Michigan, NII Tokyo, Uni. of Wuppertal, UFABC)Verified email at uni-goettingen.de
Vahed QazvinianPraisidio; Google; University of Michigan, Ann ArborVerified email at google.com
Dragomir RadevProfessor, Computer Science, Yale UniversityVerified email at yale.edu
Berry de BruijnNational Research CouncilVerified email at nrc-cnrc.gc.ca

Saif M. Mohammad

Principal Research Scientist (NLP,Computational Affective Science), National Research Council Canada

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

Natural Language Processing Lexical Semantics Affective Science Emotion Recognition Sentiment


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Crowdsourcing a word–emotion association lexicon SM Mohammad, PD Turney Computational intelligence 29 (3), 436-465, 2013	3034	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	1866*	2015
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	1408	2010
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets SM Mohammad, S Kiritchenko, X Zhu SemEval-2013, 2013	1372	2013
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	1212	2022
Sentiment analysis of short informal texts S Kiritchenko, X Zhu, SM Mohammad Journal of Artificial Intelligence Research 50, 723-762, 2014	1148	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	1081	2016
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	955	2018
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	880	2014
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	728	2018
Stance and sentiment in tweets SM Mohammad, P Sobhani, S Kiritchenko ACM Transactions on Internet Technology (TOIT) 17 (3), 1-23, 2017	619	2017
Sentiment analysis: Detecting valence, emotions, and other affectual states from text SM Mohammad Emotion measurement, 201-237, 2016	609	2016
Examining gender and race bias in two hundred sentiment analysis systems S Kiritchenko, SM Mohammad arXiv preprint arXiv:1805.04508, 2018	546	2018
Using hashtags to capture fine emotion categories from tweets SM Mohammad, S Kiritchenko Computational Intelligence 31 (2), 301-326, 2015	515	2015
NRC Emotion Lexicon SM Mohammad, PD Turney National Research Council, Canada 2, 2013	503	2013
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	458	2012
Word affect intensities SM Mohammad arXiv preprint arXiv:1704.08798, 2017	455	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	332	2009
WASSA-2017 shared task on emotion intensity SM Mohammad, F Bravo-Marquez arXiv preprint arXiv:1708.03700, 2017	331	2017
#Emotional Tweets SM Mohammad StarSem, 2012	329	2012

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