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Tourist Information Extraction Method from Tweets Without Tourist Spot Names for Tourist Information Visualization System

  • Sayuri WatanabeEmail author
  • Takashi Yoshino
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10397)

Abstract

We developed a system to extract tourist information from the web. However, insufficient tourist information is often provided from Twitter. We believe that previous methods could not consider tweets about tourist spots that did not contain the tourist spot name. In this study, we propose a tourist information extraction method from tweets without tourist spot names. In our experiment, we evaluated whether tourist information was contained in tweets before and after tweets containing the tourist spot names, tweets of followers of the user who tweeted tourist spot names, and tweets with images that do not contain tourist spot names. The experiments provided the following three results: (1) Tweets without tourist spot names tweeted before and after tweets containing tourist spot names contain tourist information. (2) Replies to tweets containing tourist spot names contain tourist information. (3) Tweets with images that do not contain tourist spot names contain information regarding the food and entertainment available at tourist spots.

Keywords

Tourist information Information extraction Information analysis Twitter 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Graduate School of System EngineeringWakayama UniversityWakayamaJapan

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