Journal of Computer Chemistry, Japan
Online ISSN : 1347-3824
Print ISSN : 1347-1767
ISSN-L : 1347-1767
Letters (Selected Paper)
Development of Machine Learning-Based Text Processing Tool for Abstract of Physical Chemistry Papers
Yuika WATARIKoji OKUWAKIYuji MOCHIZUKI
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2019 Volume 18 Issue 3 Pages 123-125

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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.

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© 2019 Society of Computer Chemistry, Japan
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