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
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-MarquezAssistant Professor, University of ChileVerified email at dcc.uchile.cl
Mohammad SalamehStaff Researcher, Huawei TechnologiesVerified email at ualberta.ca
Colin CherryGoogle ResearchVerified email at google.com
Parinaz SobhaniVerified email at uottawa.ca
Preslav NakovMBZUAIVerified email at mbzuai.ac.ae
Sara RosenthalIBM ResearchVerified email at cs.columbia.edu
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 JurgensAssistant Professor in the School of Information, University of MichiganVerified email at umich.edu
Alan RitterGeorgia Institute of TechnologyVerified email at cc.gatech.edu
Ahmed Hassan AwadallahMicrosoft ResearchVerified email at microsoft.com
Torsten ZeschProfessor of Computational Linguistics, Fernuniversität in HagenVerified email at fernuni-hagen.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


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	1911	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	1375*	2015
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets SM Mohammad, S Kiritchenko, X Zhu SemEval-2013, 2013	1179	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	1030	2010
Sentiment analysis of short informal texts S Kiritchenko, X Zhu, SM Mohammad Journal of Artificial Intelligence Research 50, 723-762, 2014	928	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	629	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	609	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	534	2018
Using hashtags to capture fine emotion categories from tweets SM Mohammad, S Kiritchenko Computational Intelligence 31 (2), 301-326, 2015	415	2015
Stance and sentiment in tweets SM Mohammad, P Sobhani, S Kiritchenko ACM Transactions on Internet Technology (TOIT) 17 (3), 1-23, 2017	413	2017
Sentiment analysis: Detecting valence, emotions, and other affectual states from text SM Mohammad Emotion measurement, 201-237, 2016	387	2016
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	363	2012
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	310	2018
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	287	2009
Word affect intensities SM Mohammad arXiv preprint arXiv:1704.08798, 2017	278	2017
#Emotional Tweets SM Mohammad StarSem, 2012	266	2012
Examining gender and race bias in two hundred sentiment analysis systems S Kiritchenko, SM Mohammad arXiv preprint arXiv:1805.04508, 2018	262	2018
NRC Emotion Lexicon SM Mohammad, PD Turney National Research Council, Canada 2, 2013	255	2013
WASSA-2017 shared task on emotion intensity SM Mohammad, F Bravo-Marquez arXiv preprint arXiv:1708.03700, 2017	234	2017
Sentiment, emotion, purpose, and style in electoral tweets SM Mohammad, X Zhu, S Kiritchenko, J Martin Information Processing & Management 51 (4), 480-499, 2015	227	2015

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