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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/2237/1389735196269-8395-4364-92a8-75c8f9d9c480
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
p1604.pdf (976.7 kB)
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| 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× Yoshikawa, Tomohiro× Furuhashi, Takeshi× Hirao, Eiji× Iguchi, Hiroto |
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| 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 | ||||||
| 内容記述タイプ | Abstract | |||||
| 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 | |||||
| 出版者 | ||||||
| 出版者 | IEEE | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | 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 |
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| フォーマット | ||||||
| 値 | 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 | |||||
