Title :
Using reason mining to analyze external expert reviews for research project selection
Author :
Likuan Zhang ; Wei Xu
Author_Institution :
Sch. of Inf., Renmin Univ. of China, Beijing, China
Abstract :
External expert review analysis is a critical important task in funding agencies, such as Beijing Natural Science Foundation (BNSF). In this paper, a novel research framework is proposed for expert review analysis using reason mining. In the proposed framework, evaluation criteria ontology is firstly constructed, and then data pre-processing is carried out to refine the reviews. Finally, reason mining is offered to give the evidence of review scores and comments. Experimental results show the effectiveness and efficiency of the proposed framework. The proposed framework can be used in funding agencies to improve the evaluation quality of expert reviews for research project selection.
Keywords :
data mining; ontologies (artificial intelligence); research and development; reviews; text analysis; data pre-processing; evaluation criteria ontology; external expert review analysis; reason mining; research project selection; text mining; Accuracy; Decision support systems; Ontologies; Testing; Text mining; Training; classification; expert reviews; reason mining; research project selection; text mining;
Conference_Titel :
Service Systems and Service Management (ICSSSM), 2014 11th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-3133-0
DOI :
10.1109/ICSSSM.2014.6943336
