Title: Real-time event search using social stream for inbound tourist corresponding to place and time

Authors: Ruriko Kudo; Miki Enoki; Akihiro Nakao; Shu Yamamoto; Saneyasu Yamaguchi; Masato Oguchi

Addresses: Department of Information Sciences, Ochanomizu University, 2-1-1 Otsuka, Bunkyo-ku, Tokyo, Japan ' IBM Research – Tokyo, 19-21, Nihonbashi Hakozaki-cho, Chuo-ku, Tokyo, Japan ' Interfaculty Initiative in Information Studies, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan ' Interfaculty Initiative in Information Studies, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan ' Department of Information and Communications Engineering, Kogakuin University, 1-24-2 Nishi Shinjuku, Shinjuku-ku, Tokyo, Japan ' Department of Information Sciences, Ochanomizu University, 2-1-1 Otsuka, Bunkyo-ku, Tokyo, Japan

Abstract: Since the decision was made to hold the Olympic Games in 2020 in Tokyo, the number of foreign tourists visiting the city has been increasing rapidly. Accordingly, tourists have been seeking more sightseeing information. While guidebooks are good for pointing out popular tourist attractions, it is more difficult for tourists to get information on local events and spots that are just becoming popular. We developed a tourist information distribution system that sends information corresponding to places and times. The system extracts event information from social media streams in a per place and time manner and provides it to tourists. In order to extract useful information, we performed event classification using actual Twitter data. We examined how to distribute the events in order to make the system more user-friendly. We also developed an information supplement function using external information.

Keywords: Twitter; social networking service; SNS; local event; sightseeing information; event name; information extract; external information; Mecab; support vector machine; SVM; random forest.

DOI: 10.1504/IJBDI.2019.100896

International Journal of Big Data Intelligence, 2019 Vol.6 No.3/4, pp.248 - 258

Received: 08 Mar 2018
Accepted: 05 Aug 2018
Published online: 19 Jul 2019 *

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