| Presentation | 2016-05-12 [Encouragement Talk] A Novel Approach for Multi-Class Sentiment Analysis in Twitter Mondher Bouazizi, Tomoaki Ohtsuki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Many works were conducted on the automatic sentiment analysis and opinion mining. However, most of these works were oriented towards the classification of texts into positive and negative. In this report, we propose a pattern-based approach that goes deeper in the classification of texts collected from Twitter (i.e., tweets) and classifies the tweets into 7 different classes. Experiments show that our approach reaches an accuracy of classification equal to 56.9% and a precision level of sentimental tweets (other than neutral and sarcastic) equal to 72.6%. Nevertheless, the approach proves to be very accurate in binary classification (i.e., classification into ?positive? and ?negative?) and ternary classification (i.e., classification into ?positive?, ?negative? and ?neutral?): in the former case, we reach an accuracy of 87.5% for the same dataset used after removing neutral tweets, and in the latter case, we reached an accuracy of classification of 83.0%. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Twitter / sentiment analysis / opinion mining |
| Paper # | ASN2016-3 |
| Date of Issue | 2016-05-05 (ASN) |
| Conference Information | |
| Committee | ASN |
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| Conference Date | 2016/5/12(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hiroshi Tohjo(NTT) |
| Vice Chair | Hiroo Sekiya(Chiba Univ.) / Hiraku Okada(Nagoya Univ.) / Kiyohito Yoshihara(KDDI R&D Labs.) |
| Secretary | Hiroo Sekiya(Kanagawa Inst. of Tech.) / Hiraku Okada(NTT) / Kiyohito Yoshihara |
| Assistant | Yuichi Igarashi(Hitachi) / Katsuhiro Naito(Aichi Inst. of Tech.) / Kiyohiko Hattori(NICT) / Hiroshi Fujita(Fujitsu Labs.) / Takuro Yonezawa(Keio Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Ambient intelligence and Sensor Networks |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Encouragement Talk] A Novel Approach for Multi-Class Sentiment Analysis in Twitter |
| Sub Title (in English) | |
| Keyword(1) | |
| Keyword(2) | sentiment analysis |
| Keyword(3) | opinion mining |
| 1st Author's Name | Mondher Bouazizi |
| 1st Author's Affiliation | Keio University(Keio Univ.) |
| 2nd Author's Name | Tomoaki Ohtsuki |
| 2nd Author's Affiliation | Keio University(Keio Univ.) |
| Date | 2016-05-12 |
| Paper # | ASN2016-3 |
| Volume (vol) | vol.116 |
| Number (no) | ASN-22 |
| Page | pp.pp.13-18(ASN), |
| #Pages | 6 |
| Date of Issue | 2016-05-05 (ASN) |