2020 年 140 巻 8 号 p. 964-970
Newspaper in Education (NIE) is an educational approach to utilize the newspaper as a teaching material. The purpose of our research is to support elementary school teachers by recommending Web news suitable for regional study in NIE for elementary schools. This paper analyzes news articles within NIE worksheets and proposes a method to determine news articles suitable as teaching materials for regional study using Support Vector Machine (SVM) based on features of the contents of news articles, regionality and readability of articles. The effectiveness of the proposed method was evaluated by the experiments. From the experimental results, we confirmed that the proposed method using Word2Vec, Learned Kanji and Local Characteristic Words as the features obtained the highest precision of 87.6%. We also confirmed that there is a possibility that the proposed method can be applied to news articles in any region.
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