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

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Collaboration Technologies and Social Computing (CollabTech 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10397))

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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.

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Notes

  1. 1.

    https://cloud.google.com/vision/.

  2. 2.

    http://nlp.ist.i.kyoto-u.ac.jp/index.php?cmd=read&page=JUMAN.

  3. 3.

    https://www.tripadvisor.jp/.

  4. 4.

    https://www.tripadvisor.jp/Attractions-g294232-Activities-Japan.html.

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Author information

Authors and Affiliations

  1. Graduate School of System Engineering, Wakayama University, Sakaedani 930, Wakayama, Japan

    Sayuri Watanabe & Takashi Yoshino

Authors
  1. Sayuri Watanabe
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  2. Takashi Yoshino
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Corresponding author

Correspondence to Sayuri Watanabe .

Editor information

Editors and Affiliations

  1. Wakayama University, Wakayama, Japan

    Takashi Yoshino

  2. Japan Advanced Institute of Science and Technology, Ishikawa, Japan

    Takaya Yuizono

  3. University of Chile, Santiago, Chile

    Gustavo Zurita

  4. University of Saskatchewan, Saskatoon, SK, Canada

    Julita Vassileva

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Watanabe, S., Yoshino, T. (2017). Tourist Information Extraction Method from Tweets Without Tourist Spot Names for Tourist Information Visualization System. In: Yoshino, T., Yuizono, T., Zurita, G., Vassileva, J. (eds) Collaboration Technologies and Social Computing. CollabTech 2017. Lecture Notes in Computer Science(), vol 10397. Springer, Cham. https://doi.org/10.1007/978-3-319-63088-5_10

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  • DOI: https://doi.org/10.1007/978-3-319-63088-5_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63087-8

  • Online ISBN: 978-3-319-63088-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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