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  1. B200 工学部/工学研究科
  2. B200a 雑誌掲載論文
  3. 学術雑誌

Webユーザレビューにおける評価情報の時系列変化の可視化

http://hdl.handle.net/2237/20685
a301ba40-e205-405c-88e9-88faa75c42f6
名前 / ファイル ライセンス アクション
22_377.pdf 22_377.pdf (1.5 MB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2014-11-05
タイトル
タイトル Webユーザレビューにおける評価情報の時系列変化の可視化
その他のタイトル
その他のタイトル Visualization of Time Series Variation of Web User Review based on Evaluation Keywords
著者 打田, 裕樹

× 打田, 裕樹

WEKO 54000

打田, 裕樹

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吉川, 大弘

× 吉川, 大弘

WEKO 54001

吉川, 大弘

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古橋, 武

× 古橋, 武

WEKO 54002

古橋, 武

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平尾, 英司

× 平尾, 英司

WEKO 54003

平尾, 英司

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井口, 浩人

× 井口, 浩人

WEKO 54004

井口, 浩人

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UCHIDA, Yuki

× UCHIDA, Yuki

WEKO 54005

UCHIDA, Yuki

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YOSHIKAWA, Tomohiro

× YOSHIKAWA, Tomohiro

WEKO 54006

YOSHIKAWA, Tomohiro

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FURUHASHI, Takeshi

× FURUHASHI, Takeshi

WEKO 54007

FURUHASHI, Takeshi

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HIRAO, Eiji

× HIRAO, Eiji

WEKO 54008

HIRAO, Eiji

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IGUCHI, Hiroto

× IGUCHI, Hiroto

WEKO 54009

IGUCHI, Hiroto

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キーワード
主題Scheme Other
主題 HK Graph
キーワード
主題Scheme Other
主題 ユーザレビュー解析
キーワード
主題Scheme Other
主題 テキストマイニング
キーワード
主題Scheme Other
主題 時系列変化
キーワード
主題Scheme Other
主題 評価語句
キーワード
主題Scheme Other
主題 User Review Analysis
キーワード
主題Scheme Other
主題 Text Mining
キーワード
主題Scheme Other
主題 Time-Series Analysis
キーワード
主題Scheme Other
主題 Evaluation Keywords
抄録
内容記述 近年,インターネットの普及を背景に,ブログやレビューなど,Web上で個人の日記や意見を気軽に書き込むことができる環境が整ってきている.本研究では,このように個人が発信するWeb上での自由記述情報を用いることで,製品などに対する評価解析を行うためのシステム構築を目指す.従来の評価解析システムでも評価表現の抽出や呈示がなされているが,個々の製品に対しての評価表現を把握することが目的であり,製品間の評価の比較や同製品での評価の時系列変化を把握する上では,不十分であると考えられる.本システムでは,MDSによりユーザレビュー間の関係性を把握した上で,文章中の語句どうしの関係を可視化するテキストマイニング手法HK Graphを用いて,ユーザが興味を持った対象商品に対するレビュー内容の視覚的な把握支援を行う.本論文では,Webユーザレビューから抽出された評価語句に基づいて,レビューにおける評価内容の時系列変化・類似性を視覚的に把握する手法を提案する.Recently, the number of the web sites such as Web user reviews and web logs where users can express their private ideas and opinions is increasing. However, it is very difficult to read whole the reviews on the internet. The conventional systems for analysis of reviews can extract evaluation information, but they are not enough to analyze time-series variation of them. This study tries to develop a review analysis system which shows the relationship among user reviews by MDS and shows evaluation information for products using HK Graph which can visualize the relationship between words with hierarchical network structure based on the co-occurrence information for the keyword graph. This paper proposes the visualization method to analyze time-series variation of Web user reviews based on the similarity of extracted evaluation keywords.
内容記述タイプ Abstract
出版者
出版者 日本知能情報ファジィ学会
言語
言語 jpn
資源タイプ
資源タイプresource http://purl.org/coar/resource_type/c_6501
タイプ journal article
ISSN
収録物識別子タイプ ISSN
収録物識別子 1347-7986
書誌情報 知能と情報 : 日本知能情報ファジィ学会誌 : journal of Japan Society for Fuzzy Theory and Intelligent Informatics

巻 22, 号 3, p. 377-389, 発行日 2010-09-30
著者版フラグ
値 publisher
URI
識別子 http://dx.doi.org/10.3156/jsoft.22.377
識別子タイプ DOI
URI
識別子 http://hdl.handle.net/2237/20685
識別子タイプ HDL
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