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

  • Seiya Tomonaga
  • Shinsuke Nakajima
  • Yoichi Inagaki
  • Reyn Nakamoto
  • Jianwei Zhang
Chapter

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.

Keywords

Blog analysis Blog big data analysis Blog mining Buzzword prediction Category classification Trend analysis 

Notes

Acknowledgments

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

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Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  • Seiya Tomonaga
    • 1
  • Shinsuke Nakajima
    • 1
  • Yoichi Inagaki
    • 2
  • Reyn Nakamoto
    • 2
  • Jianwei Zhang
    • 3
  1. 1.Faculty of Computer Science and EngineeringKyoto Sangyo UniversityKyoto-CityJapan
  2. 2.Yoichi Inagaki Kizasi Company, Inc.TokyoJapan
  3. 3.Faculty of Industrial TechnologyTsukuba University of TechnologyTsukuba-City, IbarakiJapan

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