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Application of 3-gram to English Statements Posted at Q&A Sites to Obtain Factor Scores

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

The widespread diffusion of the Internet has enabled us to communicate on Question and Answer (Q&A) sites. While there have been increasing numbers of registered users and posted Q&A statements, the issues of mismatches between the intentions of questioners and respondents are becoming conspicuous. In order to solve these problems, nine factors for Japanese Q&A statements were obtained through impression evaluation experiments. Syntactic information was then extracted through morphological analysis (MA) and employed as the feature values in performing multiple regression analysis to obtain factor scores for any Q&A statements. Factor scores can be calculated by utilizing N-gram applied to Part-of-Speech extracted through MA. Since most of the methodology so far have mainly depended on Japanese, the validity of the method applied to other languages must also be inspected. So far, in a similar fashion as in Japanese, the nine factors were experimentally obtained from English Q&A statements. The factor scores were then calculated utilizing feature values of English statements extracted through MA. It has also been confirmed that N-gram could be applicable to calculate factor scores instead of syntactic information using mere MA. Therefore, in this paper, 3-gram, as well as MA, was utilized as the feature values of English Q&A statements to obtain factor scores. Through multiple regression analysis, it has been shown that applying 3- gram would lead to as good accuracy as mere MA for all nine factors. Hence it could be concluded that 3-gram would also be applicable to the methodology when applied to English materials.

本文言語英語
ホスト出版物のタイトルIntelligent Systems and Data Science - 1st International Conference, ISDS 2023, Proceedings
編集者Nguyen Thai-Nghe, Thanh-Nghi Do, Peter Haddawy
出版社Springer Science and Business Media Deutschland GmbH
ページ231-246
ページ数16
ISBN(印刷版)9789819976652
DOI
出版ステータス出版済み - 2024
外部発表はい
イベント1st International Conference on Intelligent Systems and Data Science, ISDS 2023 - Can Tho, ベトナム
継続期間: 11-11-2023 → 12-11-2023

出版物シリーズ

名前Communications in Computer and Information Science
巻1950 CCIS
ISSN(印刷版)1865-0929
ISSN(電子版)1865-0937

会議

会議1st International Conference on Intelligent Systems and Data Science, ISDS 2023
国/地域ベトナム
CityCan Tho
Period11-11-23 → 12-11-23

All Science Journal Classification (ASJC) codes

  • コンピュータサイエンス一般
  • 数学一般

フィンガープリント

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