Automatic estimation of bloggers' gender

Daisuke Kobayashi; Naohiro Matsumura; Mitsuru Ishizuka

Automatic estimation of bloggers' gender

Daisuke Kobayashi, Naohiro Matsumura, Mitsuru Ishizuka

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 language	English
Title of host publication	ICWSM 2007 - International Conference on Weblogs and Social Media
Publication status	Published - 2007
Externally published	Yes
Event	2007 International Conference on Weblogs and Social Media, ICWSM 2007 - Boulder, CO Duration: 2007 Mar 26 → 2007 Mar 28

Other

Other	2007 International Conference on Weblogs and Social Media, ICWSM 2007
City	Boulder, CO
Period	07/3/26 → 07/3/28

Keywords

Gender Estimation
Text Classification
User Profiling

ASJC Scopus subject areas

Computer Networks and Communications

Cite this

@inproceedings{5ab6b98380894836aeddd98312083393,

title = "Automatic estimation of bloggers' gender",

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.",

keywords = "Gender Estimation, Text Classification, User Profiling",

author = "Daisuke Kobayashi and Naohiro Matsumura and Mitsuru Ishizuka",

year = "2007",

language = "English",

booktitle = "ICWSM 2007 - International Conference on Weblogs and Social Media",

note = "2007 International Conference on Weblogs and Social Media, ICWSM 2007 ; Conference date: 26-03-2007 Through 28-03-2007",

}

TY - GEN

T1 - Automatic estimation of bloggers' gender

AU - Kobayashi, Daisuke

AU - Matsumura, Naohiro

AU - Ishizuka, Mitsuru

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

KW - Gender Estimation

KW - Text Classification

KW - User Profiling

UR - http://www.scopus.com/inward/record.url?scp=84893368083&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84893368083&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84893368083

BT - ICWSM 2007 - International Conference on Weblogs and Social Media

T2 - 2007 International Conference on Weblogs and Social Media, ICWSM 2007

Y2 - 26 March 2007 through 28 March 2007

ER -

Automatic estimation of bloggers' gender

Abstract

Other

Keywords

ASJC Scopus subject areas

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Cite this