SOM-based Feature Map for Searching Similar Japanese Materials used in Junior/Senior High Schools

• ODA Ryuji

  National Institute of Technology, Tomakomai College

• MIKAMI Tsuyoshi

  National Institute of Technology, Tomakomai College

• SHINOZAKI Yusuke

  Tamagawa University

• KOSAKA Kentaro

  Hokkaido University of Education

• SATO Masanao

  Hokkaido University of Education

Bibliographic Information

Other Title

• SOM を用いた国語教材探索のための類似度特徴マップ

Abstract

Comparing two or more documents in Japanese lectures at junior/senior high schools is known to be effective for reading instructions to students. But it is difficult for teachers to continue these instructions, because there has not been any criteria to select suitable documents and it takes much time due to the massive materials. This study applies word2vec, doc2vec and Self-Organizing Map(SOM) so as to select the similar documents easily by visualizing the similarity on SOM-based 2-dimensional grid.

Journal

• Proceedings of the Fuzzy System Symposium

  Proceedings of the Fuzzy System Symposium 37 (0), 579-580, 2021

  Japan Society for Fuzzy Theory and Intelligent Informatics

Details

• CRID: 1390853752268997632
• NII Article ID: 130008143591
• DOI: 10.14864/fss.37.0_579
• Text Lang: ja
• Data Source:
  • JaLC
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed