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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | affective computing / similar calculation / example based / N-gram |
Paper # | NLC2007-7 |
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Committee | NLC |
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Conference Date | 2007/7/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Natural Language Understanding and Models of Communication (NLC) |
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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 |
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