Topic Analysis for the fourth Industrial Revolution Using LDA and Centrality Analysis in Korea

2018 International Conference on Machine Learning and Data Engineering (iCMLDE)(2018)

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摘要
The fourth industrial revolution is a recent hot issue in Korea. The purpose of this paper is to search the internet news related to the fourth industrial revolution and conduct topic analysis in order to find the idea and direction of the fourth industrial revolution in business, government, and industry. To this end, this study first collected internet news related the fourth industrial revolution in 2018. Second, the collected data were preprocessed to remove stop-words. Third, LDA analysis was performed with the refined data. As a result of LDA analysis, the keywords related to the fourth industrial revolution were classified into four categories. We found the main topics as Policy, New Technology, Industry and Finance. Fourth, word2vec analysis and centrality analysis were performed in order to analyze topics in detail. By analyzing centrality, it was able to derive to hidden topics which were not derived by LDA analysis. In addition, the intensity of the topic could be obtained through centrality analysis. As a result of centrality analysis, AI, Block Chain, Nation, Robot and Virtual Currency were elicited as new main topics. This study reveals concepts and directions of the fourth industrial revolution and can help guide relevant future policy for the fourth industrial revolution.
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关键词
the fourth industrial revolution,Latent Dirichlet Allocation analysis,Word2Vec analysis,Topic modelling,Centrality analysis
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