Text-Mining Online Public Opinion in Hong Kong: Methods and Procedures

Fei Shen, Chuanli Xia, Wenting Yu, Chen Min, Tianjiao Wang, Yi Wu and Qianying Ye

No b2mex_v1, SocArXiv from Center for Open Science

Abstract: The Hong Kong Online Public Opinion Data Mining Project (http://www.webopinion.hk/) aims to collect and study online public opinion in Hong Kong. Funded by the Research Grants Council of Hong Kong (Project No. 11600717), this project started in January 2018 and is currently housed in the Department of Media and Communication at City University of Hong Kong. The project team is led by the principal investigator Dr. Fei Shen and comprised of scholars and researchers with specializations in communication, computer science, and other social science domains. Utilizing a big data approach, the current project uses a series of computational communication methods to extract and analyze the dynamics of public opinion on the internet in Hong Kong.

Date: 2021-05-04
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Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:b2mex_v1

DOI: 10.31219/osf.io/b2mex_v1

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