[Published online Journal of Computer Chemistry, Japan Vol.18, 123-125, by J-STAGE]
<Title:> 機械学習によるテキスト処理ツールの開発と応用
<Author(s):> 亘理 結香, 奥脇 弘次, 望月 祐志
<Corresponding author E-Mill:> fullmoon(at)rikkyo.ac.jp
<Abstract:> We have developed a text processing tool consisting of several machine learning-related programs such as TreeTagger and Doc2Vec. This system was applied to a number of abstracts of a couple of physical chemistry journals (Chemical Physics Letters and American Journal of Physics). The degree of similarity of contents was then made evaluatable as a guide for papers to be checked for a certain topic.
<Keywords:> Text processing, Machine learning, Doc2Vec, Degree of similarity
<URL:> https://www.jstage.jst.go.jp/article/jccj/18/3/18_2019-0012/_article/-char/ja/
