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A Twitter-Based Culture Visualization System by Analyzing Multilingual Geo-Tagged Tweets

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Book cover Maturity and Innovation in Digital Libraries (ICADL 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11279))

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Abstract

This paper presents a novel multilingual analysis of Twitter for exploring cultural differences. For this, we developed a Twitter-based visualization system for food culture by analyzing the differences between locations and languages in geo-tagged tweets from European countries. A key feature of the proposed system is the ability to infer similarities in food preferences between different language users in different cities even when such preferences are not explicitly shown in existing tweets.

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Notes

  1. 1.

    https://developer.foursquare.com/.

References

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Acknowledgment

The work in this paper is partially supported by SCOPE of the Ministry of Internal Affairs and Communications of Japan (#171507010), JSPS KAKENHI Grant Numbers 16H01722, 17K12686 and 17H01822.

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Authors and Affiliations

  1. Yamaguchi University, 2-16-1 Tokiwadai, Ube, Yamaguchi, 755-8611, Japan

    Yuanyuan Wang

  2. Kyoto Sangyo University, Motoyama, Kamigamo, Kita-ku, Kyoto, 603-8555, Japan

    Panote Siriaraya, Yusuke Nakaoka, Haruka Sakata, Yukiko Kawai & Toyokazu Akiyama

  3. Osaka University, 5-1 Mihogaoka, Ibaraki, Osaka, 567-0047, Japan

    Yukiko Kawai

Authors
  1. Yuanyuan Wang
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  2. Panote Siriaraya
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  3. Yusuke Nakaoka
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  4. Haruka Sakata
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  5. Yukiko Kawai
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  6. Toyokazu Akiyama
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Corresponding author

Correspondence to Yuanyuan Wang .

Editor information

Editors and Affiliations

  1. University College London Qatar, Doha, Qatar

    Milena Dobreva

  2. University of Waikato, Hamilton, New Zealand

    Annika Hinze

  3. University of Ljubljana, Ljubljana, Slovenia

    Maja Žumer

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Wang, Y., Siriaraya, P., Nakaoka, Y., Sakata, H., Kawai, Y., Akiyama, T. (2018). A Twitter-Based Culture Visualization System by Analyzing Multilingual Geo-Tagged Tweets. In: Dobreva, M., Hinze, A., Žumer, M. (eds) Maturity and Innovation in Digital Libraries. ICADL 2018. Lecture Notes in Computer Science(), vol 11279. Springer, Cham. https://doi.org/10.1007/978-3-030-04257-8_14

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  • DOI: https://doi.org/10.1007/978-3-030-04257-8_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04256-1

  • Online ISBN: 978-3-030-04257-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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