Presentation | 2020-06-27 Estimation of Sports Broadcast Situations based on Character-level Auto Encoder for Live Tweets Nodoka Fujimoto, Taketoshi Ushiama, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose a method to generate vectors of each situation on video content from the latest small number of live tweets in a professional baseball broadcast. In order to vectorize the live tweets appropriately, we use a character-level auto-encoder that can deal with text noise and unique expressions of tweets. Then, to evaluate the usefulness of the proposed method, this paper present the experimental results based on the task of estimating the number of tweet posts that are likely to be correlated with the level of excitement of audiences. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | SNS / Live Tweet / Auto Encoder / Deep Learning |
Paper # | DE2020-10 |
Date of Issue | 2020-06-20 (DE) |
Conference Information | |
Committee | DE |
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Conference Date | 2020/6/27(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Online |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Social Computing |
Chair | Jun Miyazaki(Tokyo Inst. of Tech.) |
Vice Chair | Shohei Yokoyama(Tokyo Metropolitan Univ.) / Kazuo Goda(Univ. of Tokyo) |
Secretary | Shohei Yokoyama(NTT) / Kazuo Goda(Univ. of Hyogo) |
Assistant | Saneyasu Yamaguchi(Kogakuin Univ.) / Shoko Wakamiya(NAIST) |
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) | Estimation of Sports Broadcast Situations based on Character-level Auto Encoder for Live Tweets |
Sub Title (in English) | |
Keyword(1) | SNS |
Keyword(2) | Live Tweet |
Keyword(3) | Auto Encoder |
Keyword(4) | Deep Learning |
1st Author's Name | Nodoka Fujimoto |
1st Author's Affiliation | Kyushu University(Kyushu Univ.) |
2nd Author's Name | Taketoshi Ushiama |
2nd Author's Affiliation | Kyushu University(Kyushu Univ.) |
Date | 2020-06-27 |
Paper # | DE2020-10 |
Volume (vol) | vol.120 |
Number (no) | DE-78 |
Page | pp.pp.53-58(DE), |
#Pages | 6 |
Date of Issue | 2020-06-20 (DE) |