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http://dx.doi.org/10.14400/JDC.2020.18.1.137

A Study On Technical Trend Analysis Related to Semantic Analysis of NLP Through Domestic/Foreign Patent Data  

Hyun, Young-Geun (Division of Industrial Engineering, Ajou University)
Han, Jeong-Hyeon (Department of Industrial Engineering, Ajou University)
Chae, Uri (Department of Industrial Engineering, Ajou University)
Lee, Gi-Hyun (Department of Industrial Engineering, Ajou University)
Lee, Joo-Yeoun (Division of Industrial Engineering, Ajou University)
Publication Information
Journal of Digital Convergence / v.18, no.1, 2020 , pp. 137-146 More about this Journal
Abstract
NLP means the technology that mechanically analyzes a language spoken by a human and makes it into a form that can be understood by a computer. This is important because it is a core technology for communication between humans and devices, which is the basis of artificial intelligence. In this paper, I analyzed patent information of US and Korea in order to identify technical trends related to NLP, especially semantic analysis. and the purpose of this study is to provide meaningful information for future research on NLP. In conclusion, the number of Korea patents is 7.9% compared to the USA and the different frequencies of the major keywords were found to differ from country to country in technical direction. In addition, the upward or downward keywords are twice as many in the U.S. as in Korea, and reflect the trend of the times relatively more. Based on these results, in future study, I will analysis how upward trending keywords are described in actual patents for concrete technology prediction.
Keywords
NLP; Semantic analysis; Artificial Intelligence; Patent information; Keyword Network;
Citations & Related Records
Times Cited By KSCI : 13  (Citation Analysis)
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