Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
Online ISSN : 1881-7203
Print ISSN : 1347-7986
ISSN-L : 1347-7986
Original Papers
A Proposal for Occupation Estimation Methods for Social Media Users
Takeshi SAKAKIYutaka MATSUO
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2014 Volume 26 Issue 4 Pages 773-780

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Abstract

Recently, more people try to perform social survey or marketing by analyzing data on social media. Such attempts are called “Social Media Mining”. Attributes of social media users are not specified. Some attributes of social media users are easy to be estimated. Others are not easy to be estimated. In previous researches, they can succeed in estimating age, gender and habitants of social media users. While, it is difficult to estimate occupation among user attributes of social media. The proposed method use support vector machine to create classifier for occupation estimation. It succeed in estimating occupation with practical accuracy of 0.85 and practical recall of 0.77.

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© 2014 Japan Society for Fuzzy Theory and Intelligent Informatics
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