International Symposium on Affective Science and Engineering
Online ISSN : 2433-5428
ISASE2018
Session ID : A2-1
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A2: Affective Information & Soft Computing
Potential Tendency Differences between English and Japanese in Detecting Appropriate Respondents at Q&A Sites
Yuya YOKOYAMATeruhisa HOCHINHiroki NOMIYA
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

In order to eliminate mismatches between the intentions of questioners and respondents of Question and Answer (Q&A) sites, nine factors of impressions for Japanese and English statements have experimentally been obtained. Factor scores are then estimated by using the feature values of statements. So far the possibility of searching Japanese respondents capable of giving appropriate answers to a newly posted question has been established. It has been shown that the distance and the number of appearance may help us select users who can give appropriate answers to a question. In the similar fashion, this paper tries to find the possibility of detecting respondents who can appropriately answer a newly posted question at English Q&A sites. As a result of analysis, while there were several users who iteratively gave answer statements for Japanese, there are only a small number of respondents who only posted at most two answers for English.

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© 2018 Japan Society of Kansei Engineering
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