Presentation | 2015-07-14 An Extraction Method of Movie's Themes from the Review Data and its Application Akihiro Yoshinaga, Naoki Mizutani, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We tried to extract the theme information of the movies by analyzing review data in the movie review website Yahoo!Japan Movie, using statistical and text mining methods. And we explain that the movie titles can be classified into several groups by the contents, using cluster analysis of extracted theme information. Furthermore, we show the tendency of the evaluation by review contributors and that of box-office revenue using the theme information. We can suggest appropriate movie titles for the person who wants to select ones from enormous number of their lists, if we can extract theme information of movies from review data. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Review Site / Movie Review / Statistical Method / Text Mining / Theme Information |
Paper # | LOIS2015-16 |
Date of Issue | 2015-07-06 (LOIS) |
Conference Information | |
Committee | LOIS / IPSJ-DC |
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Conference Date | 2015/7/13(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Future University Hakodate |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Manabu Okamoto(NTT) / Chieko Nakabasami(Toyo Univ.) |
Vice Chair | Hiroyuki Nishi(Sojo Univ.) |
Secretary | Hiroyuki Nishi(Tsuda College) / (NTT) |
Assistant | Yu Ichifuji(NII) |
Paper Information | |
Registration To | Technical Committee on Life Intelligence and Office Information Systems / Special Interest Group on Document Communication |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An Extraction Method of Movie's Themes from the Review Data and its Application |
Sub Title (in English) | Using Statistical and Text Mining Analysis |
Keyword(1) | Review Site |
Keyword(2) | Movie Review |
Keyword(3) | Statistical Method |
Keyword(4) | Text Mining |
Keyword(5) | Theme Information |
1st Author's Name | Akihiro Yoshinaga |
1st Author's Affiliation | Okayama University of Science(Okayama Univ. of Sci.) |
2nd Author's Name | Naoki Mizutani |
2nd Author's Affiliation | Okayama University of Science(Okayama Univ. of Sci.) |
Date | 2015-07-14 |
Paper # | LOIS2015-16 |
Volume (vol) | vol.115 |
Number (no) | LOIS-138 |
Page | pp.pp.41-46(LOIS), |
#Pages | 6 |
Date of Issue | 2015-07-06 (LOIS) |