Two genre classification of Japanese literary works written by Ryuunosuke Akutagawa and Kenji Miyazawa based on word vectors

被引：1

作者：

Takenaka, Shiori ^{[1
]}

Kuroiwa, Jousuke ^{[1
]}

Odaka, Tomohiro ^{[1
]}

机构：

[1] Univ Fukui, Grad Sch Engn, 3-9-1 Bunkyo, Fukui 9108507, Japan

来源：

IEICE NONLINEAR THEORY AND ITS APPLICATIONS | 2023年 / 14卷 / 02期

关键词：

word vector; word2vec; continuous bag-of-words; support vector machine; natural language processing;

D O I：

10.1587/nolta.14.428

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

Word vectors are applied various tasks in natural language processing. However, the potentiality of the word vectors of Japanese has not been discussed as much as those of English. Therefore, the purpose of this paper is to classify the genre of modern Japanese literary works using characteristic features evaluated by the word vectors. The accuracy of the classification between novels and poetic works was 95%, and the one between novels and essays was 90%. The word vectors are applicable in the genre classification problem in modern Japanese literary works.

引用

页码：428 / 435

页数：8

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