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http://dx.doi.org/10.17703/JCCT.2022.8.2.209

Research on public sentiment of the post-corona new normal: Through social media (SNS) big data analysis  

Ann, Myung-suk (Dept. of Theology, SeoulJangsin Univ)
Publication Information
The Journal of the Convergence on Culture Technology / v.8, no.2, 2022 , pp. 209-215 More about this Journal
Abstract
In this study, detailed factors of public sentiment toward the 'post-corona new normal' were examined through social media big data sentiment analysis. Thus, it is to provide basic data to preemptively cope with the post-COVID-19 era. For data collection and analysis, the emotional analysis program of 'Textom', a big data analysis program, was used. The data collection period is one year from October 5, 2020 to October 5, 2021, and the collection channels are set as blogs, cafes, Twitter, and Facebook on Daum and Naver. The original data edited and refined a total of 3,770 collected texts from this channel were used for this study. The conclusion is as follows. First, there is a high level of interest and liking for the 'post-corona new normal'. In other words, it can be seen that optimism such as daily recovery, technological growth, and expectations for a new future took the lead at 77.62%. Second, negative emotions such as sadness and rejection are 22.38% of the total, but the intensity of emotions is 23.91%, which is higher than the ratio, suggesting that these negative emotions are intense. This study has a contribution to the detailed factor analysis of the public's positive and negative emotions through big data analysis on the 'post-corona new normal'.
Keywords
Post-Corona; New Normal; Big Data Analysis; Positive Emotions; Negative Emotions;
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