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Lexicons of word-emotion associations are widely used in research and real-world applications.
Affective meaning, concreteness, and subjective frequency norms for indonesian words
Agnes Sianipar, Pieter van Groenestijn, and Ton Dijkstra. 2016 · 1907
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The General Inquirer: A Computer Approach to Content Analysis
Philip Stone, Dexter C. Dunphy, Marshall S. Smith, Daniel M. Ogilvie, and associates. 1966 · 1966
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Affective norms for English words (ANEW): Instruction manual and affective ratings
Margaret M Bradley and Peter J Lang. 1999 · 1999
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Linguistic inquiry and word count: LIWC 2001
James W Pennebaker, Martha E Francis, and Roger J Booth. 2001 · 2001
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A framework for the computational linguistic analysis of dehumanization
Julia Mendelsohn, Yulia Tsvetkov, and Dan Jurafsky. 2020 · 2003
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Sentiment analysis: Detecting valence, emotions, and other affectual states from text
Saif M. Mohammad. 2020 · 2005
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Annotating expressions of opinions and emotions in language
Janyce Wiebe, Theresa Wilson, and Claire Cardie. 2005 · 2005
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The Spanish adaptation of ANEW (affective norms for English words)
Jaime Redondo, Isabel Fraga, Isabel Padrón, and Montserrat Comesaña. 2007 · 2007
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Generating high-coverage semantic orientation lexicons from overtly marked words and a thesaurus
Saif M. Mohammad, Cody Dunne, and Bonnie Dorr. 2009 · 2009
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Emotions evoked by common words and phrases: Using Mechanical Turk to create an emotion lexicon
Saif M. Mohammad and Peter D. Turney. 2010 · 2010
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A new ANEW: Evaluation of a word list for sentiment analysis in microblogs
Finn Årup Nielsen. 2011 · 2011
Cited alongside, same era.
#Emotional tweets
Saif M. Mohammad. 2012 · 2012
Cited alongside, same era.
NRC-Canada: Building the state-of-the-art in sentiment analysis of tweets
Saif M. Mohammad, Svetlana Kiritchenko, and Xiaodan Zhu. 2013 · 2013
Cited alongside, same era.
Crowdsourcing a word-emotion association lexicon
Saif M. Mohammad and Peter D. Turney. 2013 · 2013
Cited alongside, same era.
Norms of valence, arousal, dominance, and age of acquisition for 4,300 Dutch words
Agnes Moors, Jan De Houwer, Dirk Hermans, Sabine Wanmaker, Kevin Van Schie, Anne-Laura Van Harmelen, Maarten De Schryver, Jeffrey De Winne, and Marc Brysbaert. 2013 · 2013
Cited alongside, same era.
Norms of valence, arousal, and dominance for 13,915 English lemmas
Amy Beth Warriner, Victor Kuperman, and Marc Brysbaert. 2013 · 2013
Sentiment after translation: A case-study on Arabic social media posts
Mohammad Salameh, Saif M Mohammad, and Svetlana Kiritchenko. 2015 · 2015
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Semeval-2016 task 7: Determining sentiment intensity of English and Arabic phrases
Svetlana Kiritchenko, Saif M. Mohammad, and Mohammad Salameh. 2016 · 2016
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How translation alters sentiment
Saif M. Mohammad, Mohammad Salameh, and Svetlana Kiritchenko. 2016 · 2016
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Building Chinese affective resources in valence-arousal dimensions
Liang-Chih Yu, Lung-Hao Lee, Shuai Hao, Jin Wang, Yunchao He, Jun Hu, K Robert Lai, and Xuejie Zhang. 2016 · 2016
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Norms of valence and arousal for 14,031 Spanish words
Hans Stadthagen-Gonzalez, Constance Imbault, Miguel A Pérez Sánchez, and Marc Brysbaert. 2017 · 2017
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Word affect intensities
Saif M. Mohammad. 2018b · 2018
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Cited alongside, same era.
Sentiment analysis of short informal texts
Svetlana Kiritchenko, Xiaodan Zhu, and Saif M. Mohammad. 2014 · 2014
Cited alongside, same era.
Angst: Affective norms for german sentiment terms, derived from the affective norms for English words
David S Schmidtke, Tobias Schröder, Arthur M Jacobs, and Markus Conrad. 2014 · 2014
Cited alongside, same era.
Using hashtags to capture fine emotion categories from tweets
Saif M. Mohammad and Svetlana Kiritchenko. 2015 · 2015
Cited alongside, same era.
The effect of negators, modals, and degree adverbs on sentiment composition
Svetlana Kiritchenko and Saif M. Mohammad. 2016a
Cited in the paper.
Happy accident: A sentiment composition lexicon for opposing polarity phrases
Svetlana Kiritchenko and Saif M. Mohammad. 2016b
Cited in the paper.
From once upon a time to happily ever after: Tracking emotions in novels and fairy tales
Saif Mohammad. 2011a
Cited in the paper.
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Semeval-2018 Task 1: Affect in tweets
Saif M. Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, and Svetlana Kiritchenko. 2018 · 2018
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How do we feel when a robot dies? emotions expressed on Twitter before and after hitchBOT’s destruction
Kathleen C. Fraser, Frauke Zeller, David Harris Smith, Saif Mohammad, and Frank Rudzicz. 2019 · 2019
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PoKi: A large dataset of poems by children
Will Hipson and Saif M. Mohammad. 2020 · 2020
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