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 DorrInstitute for Human-Machine Cognition, University of MarylandVerified email at ihmc.us
Mohammad SalamehSenior Researcher, Huawei TechnologiesVerified email at ualberta.ca
Felipe Bravo-MarquezAssistant Professor, University of ChileVerified email at dcc.uchile.cl
Colin CherryGoogle ResearchVerified email at google.com
Parinaz SobhaniVerified email at uottawa.ca
Sara RosenthalIBM ResearchVerified email at cs.columbia.edu
Preslav NakovPrincipal Scientist, Qatar Computing Research Institute (QCRI), HBKUVerified email at hbku.edu.qa
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
Ahmed Hassan AwadallahMicrosoft ResearchVerified email at microsoft.com
Cody DunneNortheastern UniversityVerified email at northeastern.edu
Ted PedersenProfessor of Computer Science, University of Minnesota DuluthVerified email at d.umn.edu

Saif M. Mohammad

Senior Research Scientist, National Research Council Canada

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	1544	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	1196*	2015
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets SM Mohammad, S Kiritchenko, X Zhu SemEval-2013, 2013	1080	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	887	2010
Sentiment analysis of short informal texts S Kiritchenko, X Zhu, SM Mohammad Journal of Artificial Intelligence Research 50, 723-762, 2014	831	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	497	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	492	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	393	2018
Using hashtags to capture fine emotion categories from tweets SM Mohammad, S Kiritchenko Computational Intelligence 31 (2), 301-326, 2015	362	2015
Sentiment analysis: Detecting valence, emotions, and other affectual states from text SM Mohammad Emotion measurement, 201-237, 2016	304	2016
Stance and sentiment in tweets SM Mohammad, P Sobhani, S Kiritchenko ACM Transactions on Internet Technology (TOIT) 17 (3), 1-23, 2017	300	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	273	2009
#Emotional Tweets SM Mohammad StarSem, 2012	239	2012
Word affect intensities SM Mohammad arXiv preprint arXiv:1704.08798, 2017	206	2017
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	205	2018
Sentiment, emotion, purpose, and style in electoral tweets SM Mohammad, X Zhu, S Kiritchenko, J Martin Information Processing & Management 51 (4), 480-499, 2015	201	2015
Semeval-2012 task 2: Measuring degrees of relational similarity D Jurgens, S Mohammad, P Turney, K Holyoak * SEM 2012: The First Joint Conference on Lexical and Computational …, 2012	197	2012
WASSA-2017 shared task on emotion intensity SM Mohammad, F Bravo-Marquez arXiv preprint arXiv:1708.03700, 2017	193	2017
From once upon a time to happily ever after: Tracking emotions in novels and fairy tales S Mohammad arXiv preprint arXiv:1309.5909, 2013	189	2013
NRC Emotion Lexicon SM Mohammad, PD Turney National Research Council, Canada 2, 2013	186	2013

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