| Download | - View accepted manuscript: Automatic Dream Sentiment Analysis (PDF, 211 KiB)
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| Author | Search for: Nadeau, D.; Search for: Sabourin, C.; Search for: De Koninck, J.; Search for: Matwin, S.; Search for: Turney, Peter1 |
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| Affiliation | - National Research Council of Canada. NRC Institute for Information Technology
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| Format | Text, Article |
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| Conference | Workshop on Computational Aesthetics at the Twenty-First National Conference on Artificial Intelligence, July 16, 2006, Boston, Massachussetts, USA |
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| Abstract | In 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. |
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| Publication date | 2006 |
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| In | |
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| Language | English |
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| NRC number | NRCC 48725 |
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| NPARC number | 5764616 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 32734e14-2dee-456c-915b-da791c9a67e1 |
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| Record created | 2009-03-29 |
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| Record modified | 2020-10-09 |
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