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Analyzing Early Mentioning of Past Buzzwords for Determination of Bloggers’ Buzzword Prediction Ability

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Transactions on Engineering Technologies

Abstract

The goal of our research is to discover factors which predict which words will become buzzwords—terms representing topics that have become popular—within the blogosphere. In this paper, we propose a method which evaluates bloggers’ buzzword prediction ability by analyzing how early bloggers mentioned past buzzwords. We do so by measuring how early a buzzword is first mentioned until the buzzword’s peak in popularity. We describe this method and also report the evaluation on buzzword classification.

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References

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Acknowledgments

This work was supported in part by the MEXT Grant-in-Aid for Scientific Research(C) (#23500140, #26330351).

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Authors and Affiliations

  1. Faculty of Computer Science and Engineering, Kyoto Sangyo University, Motoyama, Kamigamo, Kita-ku, Kyoto-City, 603-8555, Japan

    Seiya Tomonaga & Shinsuke Nakajima

  2. Yoichi Inagaki Kizasi Company, Inc., 6th Floor Tomoe Nihonbashi Building, 20-14 Hakozaki-Cho, Nihonbashi, Chuo-ku, Tokyo, 103-0015, Japan

    Yoichi Inagaki & Reyn Nakamoto

  3. Faculty of Industrial Technology, Tsukuba University of Technology, Amakubo 4-3-15, Tsukuba-City, Ibaraki, 305-8520, Japan

    Jianwei Zhang

Authors
  1. Seiya Tomonaga
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  2. Shinsuke Nakajima
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  3. Yoichi Inagaki
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  4. Reyn Nakamoto
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  5. Jianwei Zhang
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Corresponding author

Correspondence to Shinsuke Nakajima .

Editor information

Editors and Affiliations

  1. Multimedia Engineering College of Engioneering, Mokpo National University, Chonnam, Korea, Republic of (South Korea)

    Gi-Chul Yang

  2. Unit 1, 1/F, Hung To Road, IAENG Secretariat, International Association of Engine, Hong Kong, Hong Kong SAR

    Sio-Iong Ao

  3. Faculty of Information Sciences and Engineering, University of Canberra, Canberra, Aust Capital Terr, Australia

    Xu Huang

  4. Calzada Tecnologico s/n, Instituto Tecnologico de Tijuana, Tijuana, Baja California, Mexico

    Oscar Castillo

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Tomonaga, S., Nakajima, S., Inagaki, Y., Nakamoto, R., Zhang, J. (2015). Analyzing Early Mentioning of Past Buzzwords for Determination of Bloggers’ Buzzword Prediction Ability. In: Yang, GC., Ao, SI., Huang, X., Castillo, O. (eds) Transactions on Engineering Technologies. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9588-3_27

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  • DOI: https://doi.org/10.1007/978-94-017-9588-3_27

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-9587-6

  • Online ISBN: 978-94-017-9588-3

  • eBook Packages: EngineeringEngineering (R0)

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