Jeen-Pyo Hong, Jeong-Won Cha, Journal of Internet Computing and Services, Vol. 14, No. 3, pp. 81-0, Jun. 2013
10.7472/jksii.2013.14.3.81, Full Text:  HTML
Keywords: Sentence Generation, Information Extraction, Mobile Context, Natural Language Processing

Abstract

Mobile device can get useful user information, because users have always this device. In this paper, we propose automatically story generation method and user topic extraction using user information in mobile environment. Proposed method is follows: (1) We collect user action information in mobile device. Then, (2) we extract topics from collected information. (3) For the results of (2), we determine episodes for one day. Then, (4) we generate sentences using sentence templates and we compose stories which have theme-based or time-based. Because proposed method is simpler than previous method, proposed method can work only in mobile device. There's no room to leak user information. And proposed method is expressed more informative than previous method, because proposed method is provided sentence-based result. Extracted user-topic, a result of our method, can use to analyze user action and user preference.

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