2019年
Text Mining and Logic Model for University Midterm Plans.
Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019
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- 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
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- 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
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- DOI : 10.1109/IIAI-AAI.2019.00202
- DBLP ID : conf/iiaiaai/OgashiwaTOMH19
- SCOPUS ID : 85080861443