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http://dx.doi.org/10.3745/KTSDE.2019.8.1.13

Keywords and Topic Analysis of Social Issues on Twitter Based on Text Mining and Topic Modeling  

Kwak, Soo Jeong (동덕여자대학교 정보통계학과)
Kim, Hyon Hee (동덕여자대학교 정보통계학과)
Publication Information
KIPS Transactions on Software and Data Engineering / v.8, no.1, 2019 , pp. 13-18 More about this Journal
Abstract
In this study, we investigate important keywords and their relationships among the keywords for social issues, and analyze topics to find subjects of the social issues. In particular, we collected twitter data with the keyword 'metoo' which has attracted much attention in these days, and perform keyword analysis and topic modeling. First, we preprocess the twitter data, identified important keywords, and analyzed the relatedness of the keywords. After then, topic modeling is performed to find subjects related to 'metoo'. Our experimental results showed that relatedness of keywords and subjects on social issues in twitter are well identified based on keyword analysis and topic modeling.
Keywords
Topic Modeling; Keyword Analysis; Text Mining; Twitter; Metoo;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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