| Presentation | 2017-09-18 Latent Followee Extraction Method based on Content and Sentiment Similarity Kazuhiro Akiyama, Tadahiko Kumamoto, Akiyo Nadamoto, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | There are numerous studies about followee recommendation of Twitter. In the one of the major methods for followee recommendation is based on content similarity. It is better that not only considering content similarity but also multi-dimensional sentiment similarity. When we consider multi-dimensional sentiment, however, it is difficult for users to find followees who tweet similar content and similar sentiment, and they are oblivious to best followees. Therefore, we propose the method to extract latent followee who tweets similar content and similar sentiment by using machine learning. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | sentiment extraction / Twitter / SNS / machine learning |
| Paper # | DE2017-16 |
| Date of Issue | 2017-09-11 (DE) |
| Conference Information | |
| Committee | DE / IPSJ-DBS / IPSJ-IFAT |
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| Conference Date | 2017/9/18(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Ochanomizu University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Big Data Management, Information Retrieval, Knowledge Discovery, etc. |
| Chair | Akiyo Nadamoto(Konan Univ.) |
| Vice Chair | Koji Eguchi(Kobe Univ.) / Shingo Otsuka(Kanagawa Inst. of Tech.) |
| Secretary | Koji Eguchi(Kogakuin Univ.) / Shingo Otsuka(Univ. of Marketing and Distrbution Science) |
| Assistant | Kazuo Goda(Univ. of Tokyo) / Yuroaki Shiokawa(Tsukuba Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Data Engineering / Special Interest Group on Database System / Special Interest Group on Information Fundamentals and Access Technologies |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Latent Followee Extraction Method based on Content and Sentiment Similarity |
| Sub Title (in English) | |
| Keyword(1) | sentiment extraction |
| Keyword(2) | |
| Keyword(3) | SNS |
| Keyword(4) | machine learning |
| 1st Author's Name | Kazuhiro Akiyama |
| 1st Author's Affiliation | Konan University(Konan Univ.) |
| 2nd Author's Name | Tadahiko Kumamoto |
| 2nd Author's Affiliation | Chiba Institute of Technology(CIT) |
| 3rd Author's Name | Akiyo Nadamoto |
| 3rd Author's Affiliation | Konan University(Konan Univ.) |
| Date | 2017-09-18 |
| Paper # | DE2017-16 |
| Volume (vol) | vol.117 |
| Number (no) | DE-212 |
| Page | pp.pp.51-56(DE), |
| #Pages | 6 |
| Date of Issue | 2017-09-11 (DE) |