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http://dx.doi.org/10.9723/jksiis.2022.27.2.115

Keyword trends analysis related to the aviation industry during the Covid-19 period using text mining  

Choi, Donghyun (한국항공대학교 항공교통물류학과)
Song, Bomi (한국항공대학교 항공교통물류학과)
Park, Dahyeon (한국항공대학교 항공교통물류학부)
Lee, Sungwoo (한국항공대학교 항공교통물류학과)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.27, no.2, 2022 , pp. 115-128 More about this Journal
Abstract
The purpose of this study is to conduct keyword trend analysis using articles data on the impact of Covid-19 in the aviation in dustry. In this study, related articles were extracted centering on the keyword "Airline" by dividing the period of 6months before and after Covid-19 occurrence. After that, Topic modeling(LDA) was performed. Through this, The main topic was extracted in the event of an epidemic such as Covid-19, It is expected to be used as primary data to predict the aviation industry's impact when occurrence like Covid-19.
Keywords
Covid-19; Aviation Industry; Text Mining; Topic Modeling Analysis;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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