Automatic Dream Sentiment Analysis

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TypeArticle
ConferenceWorkshop on Computational Aesthetics at the Twenty-First National Conference on Artificial Intelligence, July 16, 2006., Boston, Massachussetts, USA
AbstractIn this position paper, we propose a first step toward automatic analysis of sentiments in dreams. 100 dreams were sampled from a dream bank created for a normative study of dreams. Two human judges assigned a score to describe dream sentiments. We ran four baseline algorithms in an attempt to automate the rating of sentiments in dreams. Particularly, we compared the General Inquirer (GI) tool, the Linguistic Inquiry and Word Count (LIWC), a weighted version of the GI lexicon and of the HM lexicon and a standard bag-of-words. We show that machine learning allows automating the human judgment with accuracy superior to majority class choice.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number48725
NPARC number5764616
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Record identifier32734e14-2dee-456c-915b-da791c9a67e1
Record created2009-03-29
Record modified2016-05-09
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