Researcher profiling: Finding representative phrases for researchers
Zhou, Kangyan
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https://hdl.handle.net/2142/97905
Description
Title
Researcher profiling: Finding representative phrases for researchers
Author(s)
Zhou, Kangyan
Contributor(s)
Chang, Kevin
Issue Date
2017-05
Keyword(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.
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