| Presentation | 2023-03-03 On the analysis of diverse solutions in topic models Toshio Uchiyama, Tsukasa Hokimoto, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Probabilistic Latent Semantic Analysis and Latent Dirichlet analysis are known as topic models to analyze text data and images. When parameters (= solution) of the topic model are obtained by the optimization algorithm, various solutions are reached due to differences in algorithms, initial values. In order to select a solution from various solutions according to the purpose of use, it is necessary to know what kind of solutions exist. This report presents previous proposals for analyzing diverse solutions and obtaining an overall picture of the solutions and indicates issues to be addressed. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | topic model / diversity of solution / word distribution / typification of solutions / topic distribution / normalized mutual information |
| Paper # | PRMU2022-124,IBISML2022-131 |
| Date of Issue | 2023-02-23 (PRMU, IBISML) |
| Conference Information | |
| Committee | PRMU / IBISML / IPSJ-CVIM |
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| Conference Date | 2023/3/2(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Future University Hakodate |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Seiichi Uchida(Kyushu Univ.) / Masashi Sugiyama(Univ. of Tokyo) |
| Vice Chair | Takuya Funatomi(NAIST) / Mitsuru Anpai(Denso IT Lab.) / Toshihiro Kamishima(AIST) / Koji Tsuda(Univ. of Tokyo) |
| Secretary | Takuya Funatomi(CyberAgent) / Mitsuru Anpai(Univ. of Tokyo) / Toshihiro Kamishima(NTT) / Koji Tsuda(Hokkaido Univ.) |
| Assistant | Nakamasa Inoue(Tokyo Inst. of Tech.) / Yasutomo Kawanishi(Riken) / Yoshinobu Kawahara(Osaka Univ.) / Taiji Suzuki(Tokyo Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Information-Based Induction Sciences and Machine Learning / Special Interest Group on Computer Vision and Image Media |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | On the analysis of diverse solutions in topic models |
| Sub Title (in English) | |
| Keyword(1) | topic model |
| Keyword(2) | diversity of solution |
| Keyword(3) | word distribution |
| Keyword(4) | typification of solutions |
| Keyword(5) | topic distribution |
| Keyword(6) | normalized mutual information |
| 1st Author's Name | Toshio Uchiyama |
| 1st Author's Affiliation | Hokkaido Information University(HIU) |
| 2nd Author's Name | Tsukasa Hokimoto |
| 2nd Author's Affiliation | Hokkaido Information University(HIU) |
| Date | 2023-03-03 |
| Paper # | PRMU2022-124,IBISML2022-131 |
| Volume (vol) | vol.122 |
| Number (no) | PRMU-404,IBISML-405 |
| Page | pp.pp.355-362(PRMU), pp.355-362(IBISML), |
| #Pages | 8 |
| Date of Issue | 2023-02-23 (PRMU, IBISML) |