Automatic estimation of bloggers' gender

Daisuke Kobayashi, Naohiro Matsumura, Mitsuru Ishizuka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

We propose an approach employing Support Vector Machine (SVM) to estimate bloggers' gender from blog posts. The data we analyze consists of blog posts on Doblog (Japanese blog-hosting service) and questionnaire results by Doblog users. Experimental evaluations show that our approach achieved 90% accuracy for 83% bloggers.

Original languageEnglish
Title of host publicationICWSM 2007 - International Conference on Weblogs and Social Media
Publication statusPublished - 2007
Externally publishedYes
Event2007 International Conference on Weblogs and Social Media, ICWSM 2007 - Boulder, CO
Duration: 2007 Mar 262007 Mar 28

Other

Other2007 International Conference on Weblogs and Social Media, ICWSM 2007
CityBoulder, CO
Period07/3/2607/3/28

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Keywords

  • Gender Estimation
  • Text Classification
  • User Profiling

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Kobayashi, D., Matsumura, N., & Ishizuka, M. (2007). Automatic estimation of bloggers' gender. In ICWSM 2007 - International Conference on Weblogs and Social Media