論文

査読有り
2019年

Text Mining and Logic Model for University Midterm Plans.

Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019
  • Kahori Ogashiwa
  • ,
  • Eiichi Takata
  • ,
  • Tetsuya Oishi
  • ,
  • Masao Mori
  • ,
  • Sachio Hirokawa

開始ページ
1013
終了ページ
1014
記述言語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/IIAI-AAI.2019.00202
出版者・発行元
IEEE

© 2019 IEEE. National universities in Japan are required to create midterm plans based on logic models. However, universities are still in trouble about what item should be written about five viewpoints of the logic model - purpose, input, activity, output, and outcome. In this paper, we paid attention to the analysis of the third term midterm plan by the expert who extracted the typical sentences which represent the viewpoints. We applied the machine learning for those extracted sentences to identify the characteristic (feature) words and pattern of each viewpoint. It turned out that the activities have simple pattern and can be recognized with high identification performance. However, the output and the outcome are hard to describe the viewpoints.

リンク情報
DOI
https://doi.org/10.1109/IIAI-AAI.2019.00202
DBLP
https://dblp.uni-trier.de/rec/conf/iiaiaai/OgashiwaTOMH19
URL
https://dblp.uni-trier.de/conf/iiaiaai/2019
URL
https://dblp.uni-trier.de/db/conf/iiaiaai/iiaiaai2019.html#OgashiwaTOMH19
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85080861443&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85080861443&origin=inward
ID情報
  • DOI : 10.1109/IIAI-AAI.2019.00202
  • DBLP ID : conf/iiaiaai/OgashiwaTOMH19
  • SCOPUS ID : 85080861443

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