Serial Number: http://www.riss.kr/link?id=A106368337
Title: An Analysis of Artificial Intelligence(A.I.)_related Studies’ Trends in Korea Focused on Topic Modeling and Semantic Network Analysis
Author: SeoI Hwang, Mun-Ki Kim
Journal: Digital Contents Society
Vol: 20(9)
Pages: 1847-1855
Date: 2019.
Register Information: KCI
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<Abstract>
The main purpose of this study was to use Topic Modeling and Semantic Network Analysis to examine research trend of Artificial Intelligence-related papers in korea. The scope of the study was to analyze the relationship between research topics and topics using the themes, key words and abstracts of a total of 1,691 academic papers from 1985 to 2018 on the field of artificial intelligence. The analysis program used open software R. Based on the analysis results, the implications and limitations of the study and suggestions for future research were discussed.
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