| Presentation | 2017-06-22 Investigation of solution diversity about probabilistic latent semantic analysis using normalized mutual information Toshio Uchiyama, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Probabilistic Latent Semantic Analysis (PLSA) and Latent Dirichlet analysis are known as topic models to analyze text data and images. Many different parameters (solutions) of a topic model can be obtained due to different initial conditions. To utilize diversity of solutions, it is necessary to acquire distribution structure of them. Therefore, this paper proposes a novel method to define similarity (inner product) of solutions using normalized mutual information to analyze distribution of solutions. Experimental results for text data arepresented to show the usefulness of proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | topic model / PLSA / diversity of solutions / normalized mutual information / information-theoretic clustering |
| Paper # | PRMU2017-31,SP2017-7 |
| Date of Issue | 2017-06-15 (PRMU, SP) |
| Conference Information | |
| Committee | PRMU / SP |
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| Conference Date | 2017/6/22(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Shinichi Sato(NII) / Yoichi Yamashita(Ritsumeikan Univ.) |
| Vice Chair | Hironobu Fujiyoshi(Chubu Univ.) / Yoshihisa Ijiri(Omron) / Hiroki Mori(Utsunomiya Univ.) |
| Secretary | Hironobu Fujiyoshi(AIST) / Yoshihisa Ijiri(NAIST) / Hiroki Mori(Shizuoka Univ.) |
| Assistant | Masato Ishii(NEC) / Yusuke Sugano(Osaka Univ.) / Kei Hashimoto(Nagoya Inst. of Tech.) / Satoshi Kobashikawa(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Speech |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Investigation of solution diversity about probabilistic latent semantic analysis using normalized mutual information |
| Sub Title (in English) | |
| Keyword(1) | topic model |
| Keyword(2) | PLSA |
| Keyword(3) | diversity of solutions |
| Keyword(4) | normalized mutual information |
| Keyword(5) | information-theoretic clustering |
| 1st Author's Name | Toshio Uchiyama |
| 1st Author's Affiliation | Hokkaido Information University(Hokkaido Info. Univ.) |
| Date | 2017-06-22 |
| Paper # | PRMU2017-31,SP2017-7 |
| Volume (vol) | vol.117 |
| Number (no) | PRMU-105,SP-106 |
| Page | pp.pp.33-38(PRMU), pp.33-38(SP), |
| #Pages | 6 |
| Date of Issue | 2017-06-15 (PRMU, SP) |