| Presentation | 2012-08-30 Emotion Estimation of Commentary Tweets Yasuhiro TAJIMA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We propose estimation performances about emotion of tweets attached to web news articles. The estimation mathod is a naive vector model of words in tweets. We compare two machine learning methods, naive bayes and maximum entropy method. For the estimation, we obtain 0.5 to 0.6 F-value by naive bayes method, and 0.8 to 0.9 F-value for maximum entropy method. Especially, the estimation results by maximum entropy method are more stable than that of naive bayes method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | emotion estimation / tweets / micro blog / maximum entorpy method |
| Paper # | NLC2012-16 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2012/8/23(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| 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) | Emotion Estimation of Commentary Tweets |
| Sub Title (in English) | |
| Keyword(1) | emotion estimation |
| Keyword(2) | tweets |
| Keyword(3) | micro blog |
| Keyword(4) | maximum entorpy method |
| 1st Author's Name | Yasuhiro TAJIMA |
| 1st Author's Affiliation | Okayama Prefectural University() |
| Date | 2012-08-30 |
| Paper # | NLC2012-16 |
| Volume (vol) | vol.112 |
| Number (no) | 196 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |