[Purpose/significance] Identifying expertise tags helps to find scholars with the same or similar research capabilities, which is of great significance to support fine-grained scholar evaluation and analysis. [Method/process] In this research, we collected the keywords of academic papers to build an expertise seed dictionary, and used semantic similarity to expand and align the dictionary. Additionally, we combined the citations frequency, author contribution rate and inverse document frequency of expertise terms, and proposed cited-inverse document frequency based weight calculation method for expertise tag. Considering the weights of expertise tags, we could find the representative expertise tags of scholars, and carry out expert evaluation and analysis. [Result/conclusion] Experiment proves that the proposed scholar expertise identification method can objectively reflect the influence of scholar expertise, and provide a practical reference for fine-grained scholar evaluation, expert recommendation, and field hotspot analysis and other related fields.
Tang Xiaobo
,
Zhou Heshen
,
Li Shixuan
,
Mou Hao
. Identifying and Analyzing Expertise Tags of Scholars Based on the Cited-Inverse Document Frequency in the Library and Information Science Field[J]. Library and Information Service, 2021
, 65(15)
: 111
-119
.
DOI: 10.13266/j.issn.0252-3116.2021.15.013
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