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Erschienen in:
2017 | OriginalPaper | Buchkapitel
Recognition of Empathy Seeking Questions in One of the Largest Woman CQA in Japan
verfasst von : Tatsuro Shimada, Akito Sakurai
Erschienen in: Intelligent Information and Database Systems
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Abstract
Many questions are posted on community websites in the world. Some of these questions are actually asked in order to receive empathy for the feelings of questioners, instead of getting specific answers to the questions asked. However, it is difficult to receive answers for these questions compared with questions that are asked for seeking responses other than for empathy. If such questions that are asked for the purpose of receiving empathy can get responses, it serves as an important factor to increase satisfaction of users. This paper reports on our attempt to improve response rate to the questions by classifying those questions that are asked for seeking empathy and those that are not by using machine learning and showing the questions classified as the ones seeking empathy to the prospective respondents who have been answered to these questions with higher rate.