Finding Meaningful Pattern of Key Words in IIE Transactions Using Text Mining

Su-Gon Cho · Seoung-Bum Kim

29 citations0/0 files storedJournal of Korean Institute of Industrial Engineers

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scientometrics and bibliometrics research Advanced Text Analysis Techniques Computational and Text Analysis Methods

Abstract

Identification of meaningful patterns and trends in large volumes of text data is an important task in various research areas. In the present study we crawled the keywords from the abstracts in IIE Transactions, one of the representative journals in the field of Industrial Engineering from 1969 to 2011. We applied low-dimensional embedding method, clustering analysis, association rule, and social network analysis to find meaningful associative patterns of key words frequently appeared in the paper.

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2002The many applications of patent analysis 2008Using patent information for designing new product and technology: keyword based technology roadmapping 2010Utilizing patent analysis to explore the cooperative competition relationship of the two LED companies: Nichia and Osram

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2014An Analysis of the Research Methodologies and Techniques in the Industrial Engineering Using Text Mining 2015Topic Model Analysis of Research Trend on Spatial Big Data 2014A Study on the Research Trends in the Area of Geospatial-Information Using Text-mining Technique Focused on National R&D Reports and Theses

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