Application of machine learning techniques to assess the trends and alignment of the funded research output

作者：

Highlights：

• Public financial resources of countries are often limited which calls for a targeted investment.

• Monitoring research output manually is not only very expensive and difficult, it is also subjective.

• We proposed an approach to monitor research projects and assess their alignment with the country’s top research priorities.

• Our results confirm the accordance between top research priorities of Canada and the performed funded research projects.

摘要

•Public financial resources of countries are often limited which calls for a targeted investment.•Monitoring research output manually is not only very expensive and difficult, it is also subjective.•We proposed an approach to monitor research projects and assess their alignment with the country’s top research priorities.•Our results confirm the accordance between top research priorities of Canada and the performed funded research projects.

论文关键词：Text mining,Topic modeling,Machine learning,Funded research,Publications,Government research priorities,Canada

论文评审过程：Received 21 May 2018, Revised 8 January 2020, Accepted 20 January 2020, Available online 7 February 2020, Version of Record 7 February 2020.

论文官网地址：https://doi.org/10.1016/j.joi.2020.101018