Saif M. Mohammad

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Svetlana KiritchenkoNational Research Council CanadaE-mail confirmado em nrc-cnrc.gc.ca
Xiaodan ZhuECE & Ingenuity Labs Research Institute, Queen's University, CanadaE-mail confirmado em queensu.ca
Peter TurneyApperceptual.comE-mail confirmado em apperceptual.com
Graeme HirstProfessor of Computer Science, University of TorontoE-mail confirmado em cs.toronto.edu
Bonnie DorrUniversity of Florida, IHMC, UMDE-mail confirmado em ufl.edu
Felipe Bravo-MarquezAssociate Professor, University of ChileE-mail confirmado em dcc.uchile.cl
Mohammad SalamehPrincipal Researcher, Huawei TechnologiesE-mail confirmado em ualberta.ca
Colin CherryGoogle ResearchE-mail confirmado em google.com
Parinaz SobhaniE-mail confirmado em uottawa.ca
Preslav NakovMohamed bin Zayed University of Artificial Intelligence (MBZUAI)E-mail confirmado em mbzuai.ac.ae
Sara RosenthalIBM ResearchE-mail confirmado em cs.columbia.edu
Jan Philip WahleUniversity of Göttingen (Prev: NRC Canada)E-mail confirmado em uni-goettingen.de
Terry RuasUniversity of Göttingen (Prev: Uni. of Michigan, NII Tokyo, Uni. of Wuppertal, UFABC)E-mail confirmado em uni-goettingen.de
Ekaterina ShutovaILLC, University of AmsterdamE-mail confirmado em berkeley.edu
Joel MartinNational Research CouncilE-mail confirmado em nrc-cnrc.gc.ca
Krishnapriya VishnubhotlaUniversity of TorontoE-mail confirmado em cs.toronto.edu
Mohamed AbdallaUniversity of AlbertaE-mail confirmado em ualberta.ca
Vahed QazvinianPraisidio; Google; University of Michigan, Ann ArborE-mail confirmado em google.com
Dragomir RadevProfessor, Computer Science, Yale UniversityE-mail confirmado em yale.edu
Bela GippProfessor at the University of Göttingen & Director of Research at the SUB GöttingenE-mail confirmado em uni-goettingen.de

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Saif M. Mohammad

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

E-mail confirmado em nrc-cnrc.gc.ca - Página inicial

Natural Language Processing Lexical Semantics Affective Science Emotion Recognition Sentiment


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Crowdsourcing a word–emotion association lexicon SM Mohammad, PD Turney Computational intelligence 29 (3), 436-465, 2013	3073	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	1876*	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	1455	2010
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets SM Mohammad, S Kiritchenko, X Zhu SemEval-2013, 2013	1383	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	1338	2022
Sentiment analysis of short informal texts S Kiritchenko, X Zhu, SM Mohammad Journal of Artificial Intelligence Research 50, 723-762, 2014	1158	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	1086	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	975	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	899	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	749	2018
Stance and sentiment in tweets SM Mohammad, P Sobhani, S Kiritchenko ACM Transactions on Internet Technology (TOIT) 17 (3), 1-23, 2017	665	2017
Sentiment analysis: Detecting valence, emotions, and other affectual states from text SM Mohammad Emotion measurement, 201-237, 2016	605	2016
Examining gender and race bias in two hundred sentiment analysis systems S Kiritchenko, SM Mohammad arXiv preprint arXiv:1805.04508, 2018	566	2018
NRC Emotion Lexicon SM Mohammad, PD Turney National Research Council, Canada 2, 2013	520	2013
Using hashtags to capture fine emotion categories from tweets SM Mohammad, S Kiritchenko Computational Intelligence 31 (2), 301-326, 2015	517	2015
Word affect intensities SM Mohammad arXiv preprint arXiv:1704.08798, 2017	470	2017
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	457	2012
WASSA-2017 shared task on emotion intensity SM Mohammad, F Bravo-Marquez arXiv preprint arXiv:1708.03700, 2017	338	2017
#Emotional Tweets SM Mohammad StarSem, 2012	328	2012
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	326	2009

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