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http://dx.doi.org/10.9723/jksiis.2016.21.4.001

A Study on Political Attitude Estimation of Korean OSN Users  

Wijaya, Muhammad Eka (서울과학기술대학교 전기정보공학과)
Ahn, Heejune (서울과학기술대학교 전기정보공학과)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.21, no.4, 2016 , pp. 1-11 More about this Journal
Abstract
Recently numerous studies are conducted to estimate the human personality from the online social activities. This paper develops a comprehensive model for political attitude estimation leveraging the Facebook Like information of the users. We designed a Facebook Crawler that efficiently collects data overcoming the difficulties in crawling Ajax enabled Facebook pages. We show that the category level selection can reduce the data analysis complexity utilizing the sparsity of the huge like-attitude matrix. In the Korean Facebook users' context, only 28 criteria (3% of the total) can estimate the political polarity of the user with high accuracy (AUC of 0.82).
Keywords
Online Social Network; Attitude analysis; Data mining; Big-date; Web crawler;
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Times Cited By KSCI : 3  (Citation Analysis)
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