Saif M. Mohammad
Saif M. Mohammad
Senior Research Scientist, National Research Council Canada
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα nrc-cnrc.gc.ca - Αρχική σελίδα
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Crowdsourcing a word–emotion association lexicon
SM Mohammad, PD Turney
Computational intelligence 29 (3), 436-465, 2013
15642013
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
1205*2015
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets
SM Mohammad, S Kiritchenko, X Zhu
SemEval-2013, 2013
10882013
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
8892010
Sentiment analysis of short informal texts
S Kiritchenko, X Zhu, SM Mohammad
Journal of Artificial Intelligence Research 50, 723-762, 2014
8382014
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
5072016
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
5012014
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
3992018
Using hashtags to capture fine emotion categories from tweets
SM Mohammad, S Kiritchenko
Computational Intelligence 31 (2), 301-326, 2015
3652015
Sentiment analysis: Detecting valence, emotions, and other affectual states from text
SM Mohammad
Emotion measurement, 201-237, 2016
3072016
Stance and sentiment in tweets
SM Mohammad, P Sobhani, S Kiritchenko
ACM Transactions on Internet Technology (TOIT) 17 (3), 1-23, 2017
3012017
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
2752009
#Emotional Tweets
SM Mohammad
StarSem, 2012
2412012
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
2102018
Word affect intensities
SM Mohammad
arXiv preprint arXiv:1704.08798, 2017
2072017
Sentiment, emotion, purpose, and style in electoral tweets
SM Mohammad, X Zhu, S Kiritchenko, J Martin
Information Processing & Management 51 (4), 480-499, 2015
2012015
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
1972012
WASSA-2017 shared task on emotion intensity
SM Mohammad, F Bravo-Marquez
arXiv preprint arXiv:1708.03700, 2017
1942017
From once upon a time to happily ever after: Tracking emotions in novels and fairy tales
S Mohammad
arXiv preprint arXiv:1309.5909, 2013
1902013
NRC Emotion Lexicon
SM Mohammad, PD Turney
National Research Council, Canada 2, 2013
1892013
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