Topic analysis for the fourth industrial revolution using LDA and centrality analysis in Korea

Kyoung Ae Jang; Misun Park; Woo Je Kim

doi:10.1109/iCMLDE.2018.00028

Topic analysis for the fourth industrial revolution using LDA and centrality analysis in Korea

Kyoung Ae Jang
, Misun Park
, Woo Je Kim

Dept. of Industrial Engineering

Seoul National University of Science and Technology (SNUST)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2018
Editors	Daniel Howard, Md Rezaul Bashar, Phill Kyu Rhee
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	108-116
Number of pages	9
ISBN (Electronic)	9781728104041
DOIs	https://doi.org/10.1109/iCMLDE.2018.00028
State	Published - 15 Jan 2019
Event	2018 International Conference on Machine Learning and Data Engineering, iCMLDE 2018 - Sydney, Australia Duration: 3 Dec 2018 → 7 Dec 2018

Publication series

Name	Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2018

Conference

Conference	2018 International Conference on Machine Learning and Data Engineering, iCMLDE 2018
Country/Territory	Australia
City	Sydney
Period	3/12/18 → 7/12/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Centrality analysis
Latent Dirichlet Allocation analysis
The fourth industrial revolution
Topic modelling
Word2Vec analysis

Access to Document

10.1109/iCMLDE.2018.00028

Cite this

Jang, K. A., Park, M., & Kim, W. J. (2019). Topic analysis for the fourth industrial revolution using LDA and centrality analysis in Korea. In D. Howard, M. R. Bashar, & P. K. Rhee (Eds.), Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2018 (pp. 108-116). Article 8614011 (Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/iCMLDE.2018.00028

Jang, Kyoung Ae ; Park, Misun ; Kim, Woo Je. / Topic analysis for the fourth industrial revolution using LDA and centrality analysis in Korea. Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2018. editor / Daniel Howard ; Md Rezaul Bashar ; Phill Kyu Rhee. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 108-116 (Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2018).

@inproceedings{492f21eb50394cf8bf69c961755a0fe9,

title = "Topic analysis for the fourth industrial revolution using LDA and centrality analysis in Korea",

abstract = "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.",

keywords = "Centrality analysis, Latent Dirichlet Allocation analysis, The fourth industrial revolution, Topic modelling, Word2Vec analysis",

author = "Jang, \{Kyoung Ae\} and Misun Park and Kim, \{Woo Je\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Conference on Machine Learning and Data Engineering, iCMLDE 2018 ; Conference date: 03-12-2018 Through 07-12-2018",

year = "2019",

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doi = "10.1109/iCMLDE.2018.00028",

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Jang, KA, Park, M & Kim, WJ 2019, Topic analysis for the fourth industrial revolution using LDA and centrality analysis in Korea. in D Howard, MR Bashar & PK Rhee (eds), Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2018., 8614011, Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2018, Institute of Electrical and Electronics Engineers Inc., pp. 108-116, 2018 International Conference on Machine Learning and Data Engineering, iCMLDE 2018, Sydney, Australia, 3/12/18. https://doi.org/10.1109/iCMLDE.2018.00028

Topic analysis for the fourth industrial revolution using LDA and centrality analysis in Korea. / Jang, Kyoung Ae; Park, Misun; Kim, Woo Je.
Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2018. ed. / Daniel Howard; Md Rezaul Bashar; Phill Kyu Rhee. Institute of Electrical and Electronics Engineers Inc., 2019. p. 108-116 8614011 (Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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

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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 -

Jang KA, Park M, Kim WJ. Topic analysis for the fourth industrial revolution using LDA and centrality analysis in Korea. In Howard D, Bashar MR, Rhee PK, editors, Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 108-116. 8614011. (Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2018). doi: 10.1109/iCMLDE.2018.00028

Topic analysis for the fourth industrial revolution using LDA and centrality analysis in Korea

Abstract

Publication series

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UN SDGs

Keywords

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