SoM-AGA: Social media text mining for cultural difference study

Yuan Xue, Yilu Zhou

Research output: Contribution to conferencePaper

Abstract

Associative Group Analysis (AGA) is an effective method in social studies to measure cultural differences. However, it suffers from intensive human efforts in data collection and result compiling. In this research, we design an innovative method called SoM-AGA which utilizes social media and mimic AGA survey. It provides an alternative to traditional AGA method via using text mining techniques to analyze forum data. Experiment results showed that our SoM-AGA approach is capable of generating output that is comparable to traditional AGA survey output. The research suggests promising directions to use social media content as a supplement to traditional survey instruments in social studies.

Original languageEnglish (US)
Pages169-174
Number of pages6
StatePublished - Jan 1 2011
Event21st Workshop on Information Technologies and Systems, WITS 2011 - Shanghai, China
Duration: Dec 3 2011Dec 4 2011

Other

Other21st Workshop on Information Technologies and Systems, WITS 2011
CountryChina
CityShanghai
Period12/3/1112/4/11

All Science Journal Classification (ASJC) codes

  • Information Systems

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  • Cite this

    Xue, Y., & Zhou, Y. (2011). SoM-AGA: Social media text mining for cultural difference study. 169-174. Paper presented at 21st Workshop on Information Technologies and Systems, WITS 2011, Shanghai, China.