Presentation | 2011-03-09 Analysis of Rakuten GORA reviews Tomoko FUKUI, Hidenori KAWAMURA, Keiji SUZUKI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In these days, the internet, chat and weblog have lowered our barriers to the posting comments and information on Web sites. Because they are easy to use, their users are increasing yearly. These comments and information involve user's opinions, impressions and evaluations of certain objects, so there is a need for extraction of valuable information from these comments posted by many people. But it is harder to analyze those free descriptions quantitatively than to analyze numerical data. In this paper, we propose an estimation approach by using Rakuten GORA reviews. It estimates 5-point scale from free descriptions. First, we extract nouns related to each question and words of modification relation. Second, we analyze relationship between distributions of 5-point scales and those extracted words and find an estimation approach. Then we apply that method to the other reviews and compare estimation result to real data. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | text mining / free description / 5-point scale |
Paper # | AI2010-61 |
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Committee | AI |
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Conference Date | 2011/3/1(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Analysis of Rakuten GORA reviews |
Sub Title (in English) | |
Keyword(1) | text mining |
Keyword(2) | free description |
Keyword(3) | 5-point scale |
1st Author's Name | Tomoko FUKUI |
1st Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University() |
2nd Author's Name | Hidenori KAWAMURA |
2nd Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University |
3rd Author's Name | Keiji SUZUKI |
3rd Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University |
Date | 2011-03-09 |
Paper # | AI2010-61 |
Volume (vol) | vol.110 |
Number (no) | 462 |
Page | pp.pp.- |
#Pages | 4 |
Date of Issue |