Presentation 2020-01-24
Visualization of document-word relation by modeling their joint probability on latent spaces
Takuro Ishida, Keisuke Yoneda, Hajime Hatano, Tetsuo Furukawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The aim of this work is to visualize the relation of documents and words by embedding them to the product space of latent spaces. To achieve the task, the proposed method models the simultaneous probability of documents and words as the one on the product latent spaces. We applied the method to visualize the conference papers of NeurIPS and showed how it visualize the document set.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) text visualization / information retrieval
Paper # NC2019-60
Date of Issue 2020-01-16 (NC)

Conference Information
Committee NLP / NC
Conference Date 2020/1/23(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Miyakojima Marine Terminal
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Hiroaki Kurokawa(Tokyo Univ. of Tech.) / Hayaru Shouno(UEC)
Vice Chair Kiyohisa Natsume(Kyushu Inst. of Tech.) / Kazuyuki Samejima(Tamagawa Univ)
Secretary Kiyohisa Natsume(Nippon Inst. of Tech.) / Kazuyuki Samejima(Kyushu Inst. of Tech.)
Assistant Yutaka Shimada(Saitama Univ.) / Toshikaza Samura(Yamaguchi Univ.) / Takashi Shinozaki(NICT) / Ken Takiyama(TUAT)

Paper Information
Registration To Technical Committee on Nonlinear Problems / Technical Committee on Neurocomputing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Visualization of document-word relation by modeling their joint probability on latent spaces
Sub Title (in English)
Keyword(1) text visualization
Keyword(2) information retrieval
1st Author's Name Takuro Ishida
1st Author's Affiliation Kyushu Institute of Technology(Kyutech)
2nd Author's Name Keisuke Yoneda
2nd Author's Affiliation Kyushu Institute of Technology(Kyutech)
3rd Author's Name Hajime Hatano
3rd Author's Affiliation Kyushu Institute of Technology(Kyutech)
4th Author's Name Tetsuo Furukawa
4th Author's Affiliation Kyushu Institute of Technology(Kyutech)
Date 2020-01-24
Paper # NC2019-60
Volume (vol) vol.119
Number (no) NC-382
Page pp.pp.7-12(NC),
#Pages 6
Date of Issue 2020-01-16 (NC)