Journal Articles (All Issues)

Abstract

The ultimate goal of this paper is to analyze 23 articles written in December, 2023 concerning the movie spring of Seoul. This research was carried out by python. To begin with, we elucidate the pretreatment of 23 articles. More specifically, we got rid of nominative case markers, topic markers, accusative case markers, genitive case markers, dative case markers, and several symbols for the big data analysis of 23 articles. A point to note is that there are no negative words in the two representative articles with respect to the spring of Seoul. A further point to note is that the word Seoul was the most occurred one, followed by the word movie, and the word audience, in that order. A major point of this paper is that in the word cloud, the keyword Seoul is the most noteworthy one, followed by the keyword movie, the keyword audience, and the keyword release, in that order. When it comes to the network analysis of 23 articles, the words director, military, sales, theater, etc. show up in the center and around the center. This in turn indicates that they are all the noteworthy ones in 23 articles. With respect to the sentiment analysis of 23 articles, it is worthwhile noting that we obtained +669 with respect to positive words, whereas we obtained -75 with respect to negative words. It can thus be inferred that the spring of Seoul has received many favorable reviews from viewers and the press.

References

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