Study and implementation of scientific research project assessment system on network based on text mining
Shengju Yang, Jianbing Wei, Xinhui Zhao · 2017
For the existing assessment methods, there are many weakness like the complex process, the high cost and the mismatching between experts and the projects, which have an significant effect on the scientificity and efficiency. In this study, an online assessment system was proposed based on lightweight composite framework Spring+Struts+iBATIS. This system can voluntarily select the auto fit experts for the project by a text mining analysis on project declaration and study field of evaluation experts, with word segmentation tools ICTCLAS and TF-IDF algorithm. It is an effective solution to the unreasonable matching problem between project and evaluation experts. It integrated messaging platform, which greatly facilitates the communication between the administrators and assessment experts. To ensure the assessment results objective, project assessment is performed by blind review. Online assessment can overcome the defects of existing assessment methods, and make the assessment more equitable, scientific, efficiently and conveniently.