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


KIPS Transactions on Software and Data Engineering, Vol. 8, No. 1, pp. 13-18, Jan. 2019
https://doi.org/10.3745/KTSDE.2019.8.1.13, Full Text:
Keywords: topic modeling, Keyword Analysis, Text Mining, Twitter, Metoo
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.


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Cite this article
[IEEE Style]
S. J. Kwak and H. H. Kim, "Keywords and Topic Analysis of Social Issues on Twitter Based on Text Mining and Topic Modeling," KIPS Transactions on Software and Data Engineering, vol. 8, no. 1, pp. 13-18, 2019. DOI: https://doi.org/10.3745/KTSDE.2019.8.1.13.

[ACM Style]
Soo Jeong Kwak and Hyon Hee Kim. 2019. Keywords and Topic Analysis of Social Issues on Twitter Based on Text Mining and Topic Modeling. KIPS Transactions on Software and Data Engineering, 8, 1, (2019), 13-18. DOI: https://doi.org/10.3745/KTSDE.2019.8.1.13.