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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

Extraction of important keywords in free text of questionnaire data and visualization of relationship among sentences

http://hdl.handle.net/2237/13897
http://hdl.handle.net/2237/13897
35196269-8395-4364-92a8-75c8f9d9c480
名前 / ファイル ライセンス アクション
p1604.pdf p1604.pdf (976.7 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2010-07-30
タイトル
タイトル Extraction of important keywords in free text of questionnaire data and visualization of relationship among sentences
言語 en
著者 Uchida, Yuki

× Uchida, Yuki

WEKO 38108

en Uchida, Yuki

Search repository
Yoshikawa, Tomohiro

× Yoshikawa, Tomohiro

WEKO 38109

en Yoshikawa, Tomohiro

Search repository
Furuhashi, Takeshi

× Furuhashi, Takeshi

WEKO 38110

en Furuhashi, Takeshi

Search repository
Hirao, Eiji

× Hirao, Eiji

WEKO 38111

en Hirao, Eiji

Search repository
Iguchi, Hiroto

× Iguchi, Hiroto

WEKO 38112

en Iguchi, Hiroto

Search repository
アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
権利
言語 en
権利情報 ©20xx IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
抄録
内容記述 Recently, companies often carry out questionnaire(s) and develop marketing strategies. There are usually two types of forms for the answer of a questionnaire. One is the form to select prepared answers and the other is free text form. The true message might be in the text form rather than the numerical part, then the analysis of free text form is needed. The amount of text in a questionnaire is, however, usually large and difficult to read whole text data for analysis. This study tries to develop a free text analysis support system which visualizes relationships among respondents based on their texts and shows their opinions using graph structure of keywords. First, this paper proposes the extraction method of important keywords in their opinions based on the modification relationships. Next, it clusters the respondents interactively on visible space using MDS. Finally, it shows their opinions using HK Graph which can visualize the relationship among words with hierarchical network structure based on the co-occurrence information for the keyword graph.
言語 en
内容記述タイプ Abstract
出版者
言語 en
出版者 IEEE
言語
言語 eng
資源タイプ
資源タイプresource http://purl.org/coar/resource_type/c_6501
タイプ journal article
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1109/FUZZY.2009.5277332
ISSN
収録物識別子タイプ PISSN
収録物識別子 1098-7584
書誌情報 en : IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2009)

p. 1604-1608, 発行日 2009-08-20
フォーマット
application/pdf
著者版フラグ
値 publisher
URI
識別子 http://hdl.handle.net/2237/13897
識別子タイプ HDL
URI
識別子 http://dx.doi.org/10.1109/FUZZY.2009.5277332
識別子タイプ DOI
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