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Application of 5-gram to Obtain Factor Scores of Japanese Q&A Statements

  • Yuya Yokoyama

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 clarify the issue of mismatches between the questioners and respondents of Question and Answer (Q&A) sites, nine factors of impressions for Q&A statements were obtained through impression evaluation experiments. Then through multiple regression analysis, factor scores were estimated with the usage of feature values of statements. The factor scores estimated and obtained were subsequently utilized for detecting respondents who would be expected to appropriately answer a posted question. Nevertheless, this method has considerably been dependent on the syntactic information extracted through morphological analysis. Moreover, this method has a vital downside of requiring numerous explanatory variables and complicated multiple regression equation to estimate factor scores. Therefore, the principle has been shifted to applying N-gram over morphological analysis. In this paper, 5-gram is applied to the feature values, in a similar way as the previous analysis using shorter N-grams. Further analysis has shown that 5-gram would be also applicable to the method. In terms of estimation accuracy, N-grams also outscore morphological analysis; above all 2-gram and 3-gram show the best accuracy. Hence, it could be suggested that N-gram should play more important role in estimating factor scores than mere morphological analysis.

本文言語英語
ホスト出版物のタイトルProceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023
出版社Institute of Electrical and Electronics Engineers Inc.
ページ69-75
ページ数7
ISBN(電子版)9798350324228
DOI
出版ステータス出版済み - 2023
外部発表はい
イベント14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023 - Koriyama, 日本
継続期間: 08-07-202313-07-2023

出版物シリーズ

名前Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023

会議

会議14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023
国/地域日本
CityKoriyama
Period08-07-2313-07-23

All Science Journal Classification (ASJC) codes

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • コンピュータ ビジョンおよびパターン認識
  • 情報システム
  • 情報システムおよび情報管理

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