Presentation 2007/7/17
Emotion Classification for Emotion Corpus Construction
Mayu YAMAMOTO, Seiji TSUCHIYA, Shingo KUROIWA, Fuji REN,
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Abstract(in English) In this paper, we aim to develop Emotion corpus automatically using Naive Bayes Classifier. Emotion corpus is language data with emotion tags. Language data is the corpus which made by the sentences that we collected from web. Emotion tag stands for emotion of the people who wrote the sentences at the time. At first, we put emotion tags on the language data we collected. Next,we classify the language data using the Naive Bayes Classifier based on this data set, and I confirm the effectiveness of the method.
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Keyword(in English) Emotion Corpus / Naive Bayes Classifier / Automatic classification
Paper # NLC2007-6
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Committee NLC
Conference Date 2007/7/17(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Emotion Classification for Emotion Corpus Construction
Sub Title (in English)
Keyword(1) Emotion Corpus
Keyword(2) Naive Bayes Classifier
Keyword(3) Automatic classification
1st Author's Name Mayu YAMAMOTO
1st Author's Affiliation Graduate School of Advanced Technology and Science, The University of Tokushima()
2nd Author's Name Seiji TSUCHIYA
2nd Author's Affiliation Institute of Technology and Science, The University of Tokushima
3rd Author's Name Shingo KUROIWA
3rd Author's Affiliation Institute of Technology and Science, The University of Tokushima
4th Author's Name Fuji REN
4th Author's Affiliation Institute of Technology and Science, The University of Tokushima
Date 2007/7/17
Paper # NLC2007-6
Volume (vol) vol.107
Number (no) 158
Page pp.pp.-
#Pages 5
Date of Issue