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Obtaining Factors of Q&A Statements with the Consideration of Categories

研究成果: 書籍/レポート タイプへの寄稿 › 会議への寄与

抄録

In order to avoid the problem of mismatch between questioner and respondent, an impression evaluation experiment was conducted and nine factors were obtained as a result. The factors were then used to estimate the factor scores of all other statements through multiple regression analysis and to select the most appropriate respondents. The factors, however, have been obtained without taking into consideration the categories of the Q&A statements. In this paper we therefore investigated whether the consideration of categories could lead to obtaining more apparent tendencies and precise results to select the most appropriate respondents. In this paper, factor analysis is applied to the experimental results with a consideration of the following categories: Auction, PC, Love, and Politics. As a result of factor analysis, both similarity and difference could be observed for each category of Q&A statements. Comparing the new results with the previous one, two similar main factors could be obtained regardless of the category considered. On the other hand, factors other than the two have were also obtained for each respective category. This shows that the number of factors obtained for each category varies.

本文言語英語
ホスト出版物のタイトルProceedings - 2019 6th International Conference on Computational Science/Intelligence and Applied Informatics, CSII 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ページ19-24
ページ数6
ISBN(電子版)9781728125534
DOI
出版ステータス出版済み - 05-2019
外部発表はい
イベント6th International Conference on Computational Science/Intelligence and Applied Informatics, CSII 2019 - Honolulu, 米国
継続期間: 29-05-2019 → 31-05-2019

出版物シリーズ

名前Proceedings - 2019 6th International Conference on Computational Science/Intelligence and Applied Informatics, CSII 2019

会議

会議6th International Conference on Computational Science/Intelligence and Applied Informatics, CSII 2019
国/地域米国
CityHonolulu
Period29-05-19 → 31-05-19

All Science Journal Classification (ASJC) codes

  • 人工知能
  • コンピュータ サイエンスの応用
  • 情報システム

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