University of Illinois Urbana-Champaign

Researcher profiling: Finding representative phrases for researchers

Zhou, Kangyan

Content Files
ECE499-Sp2017-zhou-Kangyan.pdf

Permalink

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
Date of Ingest
2017-08-31T21:25:44Z
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.
Type of Resource
text
Genre of Resource
Other
Language
en
Permalink
http://hdl.handle.net/2142/97905

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