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Using 4-gram to Obtain Factor Scores of Japanese Statements Posted at Q&A Sites

  • Yuya Yokoyama
  • , Teruhisa Hochin
  • , Hiroki Nomiya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With the aim of clearing the issues of mismatches between the intentions of questioners and respondents of Question and Answer (Q&A) sites, nine factors of impressions for Q&A statements have been obtained through impression evaluation experiments. Then by means of multiple regression analysis, factor scores have been estimated by using the feature values of statements e.g., syntactic information, etc. The factor scores estimated and obtained have been subsequently employed for inspecting their potential to detect respondents who are likely to post appropriate answers to a posted question. However, our method has considerably depended on the syntactic information extracted through morphological analysis. Furthermore, this method has a critical downside of numerous explanatory variables and complicated multiple regression equation to estimate factor scores. Thus, we have shifted our principle to use N-gram on top of morphological analysis. In this paper, 4-gram is applied to the feature values, in a similar way as the previous analysis using 2-gram and 3-gram. Further analysis has shown that 4-gram is also applicable to our method. As a result of the analysis, 2-gram, 3-gram and 4-gram also outscore morphological analysis in terms of estimation accuracy; above all 2-gram shows the best accuracy. By and large, it could be suggested that N-gram as well as morphological analysis should be more sufficient than mere morphological analysis as the syntactic information of the feature values to estimate factor scores.

Original languageEnglish
Title of host publicationProceedings - 2022 13th International Congress on Advanced Applied Informatics Winter, IIAI-AAI-Winter 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages25-31
Number of pages7
ISBN (Electronic)9798350309928
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event13th IIAI International Congress on Advanced Applied Informatics Winter, IIAI-AAI-Winter 2022 - Phuket, Thailand
Duration: 12-12-202214-12-2022

Publication series

NameProceedings - 2022 13th International Congress on Advanced Applied Informatics Winter, IIAI-AAI-Winter 2022

Conference

Conference13th IIAI International Congress on Advanced Applied Informatics Winter, IIAI-AAI-Winter 2022
Country/TerritoryThailand
CityPhuket
Period12-12-2214-12-22

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Information Systems
  • Education
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications

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