Journal of the Semiconductor & Display Technology (반도체디스플레이기술학회지)

The Korean Society Of Semiconductor & Display Technology (한국반도체디스플레이기술학회)
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COVID19 Related Keyword Analysis: Based on Topic Modeling and Semantic Network Analysis

코로나19 관련 키워드 분석: 토픽 모델링과 의미 연결망 네트워크 분석을 중심으로

  • 김동욱 (상명대학교 소프트웨어학과) ;
  • 이민상 (상명대학교 소프트웨어학과) ;
  • 정재영 (상명대학교 소프트웨어학과) ;
  • 김현철 (상명대학교 소프트웨어학과)
  • Received : 2022.06.09
  • Accepted : 2022.06.22
  • Published : 2022.06.30
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Abstract

In the era of COVID-19 pandemic, COVID related keywords, news and SNS data are pouring out. With the help of the data and LDA topic modeling, we can check out what media reports about COVID-19 and vaccines. Also, we can be clear how the public reacts to the vaccine on social media and how this is related with the increasing number of COVID-19 patients. By using sentimental analysis methodology, we can get to know about the different kinds of reports that Korea media send out and get to know what kind of emotions that each media company uses in majority. Through this procedure, we can know the difference between the Korean media and the foreign ones. Ultimately, we can find and analyze the keyword that suddenly rose during the COVID-19 period throughout this research.

Keywords

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