Design and Implementation of an Issue-oriented Automatic Syllabus Categorization Svstem
課題志向別シラバス自動分類システムの設計と実装

Susumu OTA, Hideki MIMA
2009 Transactions of Visualization Society of Japan  
The purpose of this study is to develop an issue-oriented automatic syllabus categorization system, in whicn natural language processing and machine learning based automatic categorization are combined. Recent explosion of scientific knowledge due to the rapid advancement of academia and society makes it difficult for learners and educators to recognize overall picture of syllabus. In addition,
doi:10.3154/jvs.29.109 fatcat:ph75pzuttfhnxhhub3din67yn4