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Title:Researcher profiling: Finding representative phrases for researchers
Author(s):Zhou, Kangyan
Contributor(s):Chang, Kevin
Subject(s):key phrase generation
research focus analysis
Abstract:We are working on building a comprehensive search system for a researcher given his/her name and affiliation. The output result includes the researcher’s basic profile, his/her research publications, past grants received, patents, and Youtube or any other video links. In this paper, we utilize an existing framework and propose a method to accurately generate meaningful and representative phrases for one researcher, based on his/her publication titles from the search results of the aforementioned system. The purpose of the research is to provide a thorough understanding of the researcher’s interest based on limited input. Although the algorithm requires some background context given the limited size of input, the quality of the phrases generated is satisfactory. We also discuss our approach to generate personalized phrase representation for two or more researchers working in a similar field.
Issue Date:2017-05
Date Available in IDEALS:2017-08-31

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