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http://dx.doi.org/10.9728/dcs.2018.19.3.529

A Study on Patent Data Analysis and Competitive Advantage Strategy using TF-IDF and Network Analysis  

Yun, Seok-Yong (Dept. of IT Policy Management, Graduate School, Soong-sil University)
Han, Kyeong-Seok (School of Business Administration, Soong-sil University)
Publication Information
Journal of Digital Contents Society / v.19, no.3, 2018 , pp. 529-535 More about this Journal
Abstract
Data is explosively growing, but many companies are still using data analysis only for descriptive analysis or diagnostic analysis, and not appropriately for predictive analysis or enterprise technology strategy analysis. In this study, we analyze the structured & unstructured patent data such as IPC code, inventor, filing date and so on by using big data analysis techniques such as network analysis and TF-IDF. Through this analysis, we propose analysis process to understand the core technology and technology distribution of competitors and prove it through data analysis.
Keywords
Open Source; Network Analysis; TF-IDF; Big Data; Predictive Analysis; Patent Data Analysis;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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