TY - GEN
T1 - Topic analysis for the fourth industrial revolution using LDA and centrality analysis in Korea
AU - Jang, Kyoung Ae
AU - Park, Misun
AU - Kim, Woo Je
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2019/1/15
Y1 - 2019/1/15
N2 - 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 fin. 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.
AB - 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 fin. 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.
KW - Centrality analysis
KW - Latent Dirichlet Allocation analysis
KW - The fourth industrial revolution
KW - Topic modelling
KW - Word2Vec analysis
UR - https://www.scopus.com/pages/publications/85062217371
U2 - 10.1109/iCMLDE.2018.00028
DO - 10.1109/iCMLDE.2018.00028
M3 - Conference contribution
AN - SCOPUS:85062217371
T3 - Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2018
SP - 108
EP - 116
BT - Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2018
A2 - Howard, Daniel
A2 - Bashar, Md Rezaul
A2 - Rhee, Phill Kyu
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Conference on Machine Learning and Data Engineering, iCMLDE 2018
Y2 - 3 December 2018 through 7 December 2018
ER -
