A challenge of authorship identification for ten-thousand-scale microblog users

Syunya Okuno, Hiroki Asai, Hayato Yamana

研究成果: Conference contribution

12 被引用数 (Scopus)

抄録

Internet security issues require authorship identification for all kinds of internet contents; however, authorship identification for microblog users is much harder than other documents because microblog texts are too short. Moreover, when the number of candidates becomes large, i.e., big data, it will take long time to identify. Our proposed method solves these problems. The experimental results show that our method successfully identifies the authorship with 53.2% of precision out of 10,000 microblog users in the almost half execution time of previous method.

本文言語English
ホスト出版物のタイトルProceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014
編集者Wo Chang, Jun Huan, Nick Cercone, Saumyadipta Pyne, Vasant Honavar, Jimmy Lin, Xiaohua Tony Hu, Charu Aggarwal, Bamshad Mobasher, Jian Pei, Raghunath Nambiar
出版社Institute of Electrical and Electronics Engineers Inc.
ページ52-54
ページ数3
ISBN(電子版)9781479956654
DOI
出版ステータスPublished - 2015 1 7
イベント2nd IEEE International Conference on Big Data, IEEE Big Data 2014 - Washington, United States
継続期間: 2014 10 272014 10 30

出版物シリーズ

名前Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014

Conference

Conference2nd IEEE International Conference on Big Data, IEEE Big Data 2014
国/地域United States
CityWashington
Period14/10/2714/10/30

ASJC Scopus subject areas

  • 人工知能
  • 情報システム

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