人工知能学会第二種研究会資料
Online ISSN : 2436-5556
新聞記事データに基づいたトレンド分析を通じた大規模地震災害に対する社会的関心の推移
藤江 海人廣井 悠坂平 文博
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研究報告書・技術報告書 フリー

2024 年 2024 巻 BI-025 号 p. 07-

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This study observes transitions in social interest in past large-scale earthquake disasters over time, based on time-series trends in the volume of newspaper coverage by newspaper page name. In this study, we conducted a trend analysis based on the number of newspaper articles and the number of words in each newspaper page name from 1995 to 2020 for the Great Hanshin-Awaji Earthquake and the Great East Japan Earthquake. The results showed that the volume of articles on the Great Hanshin-Awaji Earthquake declined sharply one month after the occurrence of the earthquake. The local and society pages showed similar trends of increase and decrease, eventually leveling off. On the other hand, the decrease in the volume of articles for the Great East Japan Earthquake was less variable and more gradual than that for the Great Hanshin-Awaji Earthquake, and a similar pattern of trends was observed for many page names In this presentation, details and discussion of each result are reported.

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