日本留学試験（EJU）分析の試み
2023 年 30 巻 1 号 p. 48-49
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2023 年 30 巻 1 号 p. 48-49
In this paper, EJU is analyzed using text mining. The 2022 EJU was examined through frequent terms and co-occurrence networks. Common terms like &quoconsider&quo &quoself&quo and &quopeople&quo emerged, with a focus on environmental issues. Comparisons across subjects revealed social problems in reading comprehension, native Japanese words in listening comprehension, and distinct vocabulary in listening and reading comprehension. However, further research incorporating multiple years of data is needed for a comprehensive understanding of EJU.
