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http://dx.doi.org/10.33778/kcsa.2022.22.1.055

Renewable energy trends and relationship structure by SNS big data analysis  

Jong-Min Kim (동신대학교 정보보안학과 )
Publication Information
Convergence Security Journal / v.22, no.1, 2022 , pp. 55-60 More about this Journal
Abstract
This study is to analyze trends and relational structures in the energy sector related to renewable energy. For this reason, in this study, we focused on big data including SNS data. SNS utilizes the Instagram platform to collect renewable energy hash tags and use them as a word embedding method for big data analysis and social network analysis, and based on the results derived from this research, it will be used for the development of the renewable energy industry. It is expected that it can be utilized.
Keywords
SNS; Word2Vec; Renewable energy; Big Data;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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