Emotions evoked by common words and phrases : Using mechanical turk to create an emotion lexicon

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TypeArticle
Proceedings titleProceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text
ConferenceNAACL-HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, June 5, 2010, Los Angeles, California, USA
Pages2634; # of pages: 9
AbstractEven though considerable attention has been given to semantic orientation of words and the creation of large polarity lexicons, research in emotion analysis has had to rely on limited and small emotion lexicons. In this paper, we show how we create a high-quality, moderate-sized emotion lexicon using Mechanical Turk. In addition to questions about emotions evoked by terms, we show how the inclusion of a word choice question can discourage malicious data entry, help identify instances where the annotator may not be familiar with the target term (allowing us to reject such annotations), and help obtain annotations at sense level (rather than at word level). We perform an extensive analysis of the annotations to better understand the distribution of emotions evoked by terms of different parts of speech. We identifywhich emotions tend to be evoked simultaneously by the same term and show that certain emotions indeed go hand in hand.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada (NRC-CNRC); NRC Institute for Information Technology
Peer reviewedYes
NPARC number16285561
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Record identifier529db30f-19ce-4b70-9ad0-9457d8ad4371
Record created2010-11-03
Record modified2016-05-09
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