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论文类型：期刊论文

发表时间：2017-01-01

发表刊物：JOURNAL OF ORGANIZATIONAL CHANGE MANAGEMENT

收录刊物：SSCI、Scopus

卷号：30

期号：5

页面范围：668-682

ISSN号：0953-4814

关键字：Recognition; Assessment; Linguistic patterns; Python; Scientific novelty

摘要：Purpose - The purpose of this paper is to complement an available system of qualitative analysis of efficiency of scientific activities with assessment of novelty of a subject of research that gives a more complete pattern for evaluating the efficiency of efforts of both scientists and research teams.
   Design/methodology/approach - The approach is based on detection of specified linguistic patterns with further evaluation of similarity and novelty scores of obtained definitions at the sentence level.
   Findings - This work presents an algorithm of automatic search for a new subject of research in scientific papers on the basis of statistical and linguistic analyses of description of new terms. Application of patterns specified in a given manuscript with further utilization of well-known methods of similarity and novelty detection scores makes it possible to evaluate the degree of novelty of a subject of research.
   Practical implications - As a practical application of the proposed algorithm, the algorithm of determination of authority of a scientist will facilitate assessment of personal contributions of certain authors made in a certain field of study.
   Originality/value - The main contribution of a given manuscript is in application of linguistic patterns recognition and calculation of similarity and novelty scores to the area of scientific results with further proposition of the method of automatic search for a new subject of research in scientific manuscripts.