Presentation 2007/7/17
An Emotion Similarity Calculation Using N-gram Frequency
Kenichi MISHINA, Seiji TSUCHIYA, Shingo KUROIWA, Fuji REN,
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Abstract(in English) Existing methods to estimate emotions of a sentence can estimate a few kinds of emotion, and many methods use a dictionary that emotion weights is related every words. Our aim is to propose a method which can estimate with high precision using feeling expression (modality et al.) and can add new estimatable emotion easily, we gave emotion weights to N-gram to use feeling expression. To propose such method, we proposed an emotion similarity calculation. This method calculates similarity between represented emotions from two sentences. In the emotion similarity calculation, we use similarity between an input sentence and classified sentence by emotions. Classified sentences are in emotion corpora. The calculation formula is based on BLEU. BLEU is machine translation evaluation method. In this paper, we propose a new emotion similarity calculation method. This method can estimate with high precision compared to the past one. This method uses N-gram frequency dictionaries made from each emotion corpora. To examine the precision of the method, we evaluated ratio that emotions of highest emotion similarities corresponds emotions of the input. Emotions of the input was decided by human. As the results, the ratio was improved 20.59.
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Keyword(in English) affective computing / similar calculation / example based / N-gram
Paper # NLC2007-7
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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)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Emotion Similarity Calculation Using N-gram Frequency
Sub Title (in English)
Keyword(1) affective computing
Keyword(2) similar calculation
Keyword(3) example based
Keyword(4) N-gram
1st Author's Name Kenichi MISHINA
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 # NLC2007-7
Volume (vol) vol.107
Number (no) 158
Page pp.pp.-
#Pages 6
Date of Issue