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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
mamariQ. http://qa.mamari.jp/
The Vital Statistics conducted by the Ministry of Health, Labour and Welfare. http://www.mhlw.go.jp/toukei/saikin/hw/jinkou/geppo/nengai15/index.html
Kim, S., Oh, J., Oh, S.: Best-answer selection criteria in a social Q&A site from the user-oriented relevance perspective. In: Annual Meeting of American Society for Information Science and Techonology (ASIS&T 2007). Milwaukee, Wisconsin (2007)
Kuriyama, K., Kando, N.: Analysis of Questions and Answers in Q&A Site, IPSJ SIG Technical report, vol. 2009DBS1, No.19, p.1. UTF20138 2009
Bo, Q., Cong, G., Li, C., Sun, A., Chen, H.: An evaluation of classification models for question topic categorization. JASIST 63(5), 889–903 (2012)
Aikawa, N., Sakai, T., Yamana, H.: Community qa question classification: is the asker looking for subjective answers or not? IPSJ Online Trans. 4, 160–168 (2011)
Zhou, T.C., Si, X., Chang, E.Y., King, I., Lyu, M.R.: A datadriven approach to question subjectivity identification in community question answering. In: Proceedings AAAI (2012)
Kudo, T., Yamamoto, K., Matsumoto, Y.: Applying Conditional Random Fields to Japanese Morphological Analysis. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2004), pp. 230–237 (2004)
scikit-learn. http://scikit-learn.org/stable/
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Shimada, T., Sakurai, A. (2017). Recognition of Empathy Seeking Questions in One of the Largest Woman CQA in Japan. In: Nguyen, N., Tojo, S., Nguyen, L., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2017. Lecture Notes in Computer Science(), vol 10191. Springer, Cham. https://doi.org/10.1007/978-3-319-54472-4_60
Download citation
DOI: https://doi.org/10.1007/978-3-319-54472-4_60
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-54471-7
Online ISBN: 978-3-319-54472-4
eBook Packages: Computer ScienceComputer Science (R0)