Presentation | 2021-07-24 Social Emotional Change Estimation using Twitter Fujio Toriumi, Michimasa Inaba, |
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PDF Download Page | ![]() |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we developed a new emotion estimation model using BERT to extract social emotions from Twitter. The accuracy of the model was evaluated by subject experiments. The proposed model succeeded to estimate emotions with an accuracy of $80~90%$, which is higher than MLAsk, a commonly used emotion estimation method. We also extracted and analyzed emotion toward the COVID-19 vaccine using the proposed model. The results showed that the emotions toward the vaccine changed depending on the period and that positive emotions increased as the number of vaccinations increased. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Social Media / Twitter / Emotion analysis / COVID-19 / Vaccine |
Paper # | DE2021-11 |
Date of Issue | 2021-07-17 (DE) |
Conference Information | |
Committee | DE |
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Conference Date | 2021/7/24(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | KAIT IT extension center (Hybrid) |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Social Computing |
Chair | Naofumi Yoshida(Komazawa Univ.) |
Vice Chair | Akiyoshi Matono(AIST) / Yu Suzuki(Gifu Univ.) |
Secretary | Akiyoshi Matono(Kanagawa Inst. of Tech.) / Yu Suzuki(Osaka Univ.) |
Assistant | Ken Honda(Komazawa Univ.) / Hiroki Nomiya(Kyoto Inst. of Tech) |
Paper Information | |
Registration To | Technical Committee on Data Engineering |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Social Emotional Change Estimation using Twitter |
Sub Title (in English) | |
Keyword(1) | Social Media |
Keyword(2) | |
Keyword(3) | Emotion analysis |
Keyword(4) | COVID-19 |
Keyword(5) | Vaccine |
1st Author's Name | Fujio Toriumi |
1st Author's Affiliation | The University of Tokyo(UT) |
2nd Author's Name | Michimasa Inaba |
2nd Author's Affiliation | The University of Electro-Communications(UEC) |
Date | 2021-07-24 |
Paper # | DE2021-11 |
Volume (vol) | vol.121 |
Number (no) | DE-125 |
Page | pp.pp.58-62(DE), |
#Pages | 5 |
Date of Issue | 2021-07-17 (DE) |