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Discovering Volatile Events in Your Neighborhood: Local-Area Topic Extraction from Blog Entries

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Information Retrieval Technology (AIRS 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5839))

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Abstract

This paper presents a method for the detection of occasional or volatile local events using topic extraction technologies. This is a new application of topic extraction technologies that has not been addressed in general location-based services. A two-level hierarchical clustering method was applied to topics and their transitions using time-series blog entries collected with search queries including place names. According to experiments using 764 events from 37 locations in Tokyo and its vicinity, our method achieved 77.0% event findability. It was found that the number of blog entries in urban areas was sufficient for the extraction of topics, and the proposed method could extract typical volatile events, such as performances of music groups, and places of interest, such as popular restaurants.

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Author information

Authors and Affiliations

  1. Corporate R&D Center, Toshiba Corporation, 1 Komukai Toshiba-cho, Saiwai-ku, Kawasaki, 212-8582, Japan

    Masayuki Okamoto & Masaaki Kikuchi

Authors
  1. Masayuki Okamoto
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  2. Masaaki Kikuchi
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Pohang University of Science and Technology, San 31, Hyoja-dong, Nam-gu, 790-784, Pohang, Korea

    Gary Geunbae Lee

  2. School of Computing, The Robert Gordon University, St Andrew Street, AB25 1HG, Aberdeen, UK

    Dawei Song

  3. Microsoft Reseach Asia, 5F Beijing Sigma Center, 49 Zhichun Road, Haidian District, 100190, Beijing, P.R. China

    Chin-Yew Lin

  4. National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, 101-8430, Tokyo, Japan

    Akiko Aizawa

  5. School of Literature, Shirayuri College, 1-25 Midorigaoka, Chofu-shi, 182-8525, Tokyo, Japan

    Kazuko Kuriyama

  6. Graduate School of Information Science and Technology, Hokkaido University, North 14 West 9, Kita-ku. Sapporo-shi, 060-0814, Hokkaido, Japan

    Masaharu Yoshioka

  7. Microsoft Research Asia, 5F Beijing Sigma Center, 49 Zhichun Road, Haidian District, 100190, Beijing, P.R. China

    Tetsuya Sakai

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© 2009 Springer-Verlag Berlin Heidelberg

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Okamoto, M., Kikuchi, M. (2009). Discovering Volatile Events in Your Neighborhood: Local-Area Topic Extraction from Blog Entries. In: Lee, G.G., et al. Information Retrieval Technology. AIRS 2009. Lecture Notes in Computer Science, vol 5839. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04769-5_16

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  • DOI: https://doi.org/10.1007/978-3-642-04769-5_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04768-8

  • Online ISBN: 978-3-642-04769-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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