| Title |
Big Data-based Network Analysis from Korean Online News on Generative AI |
| Authors |
송종휘(JongHwi Song) ; 서병석(ByungSuk Seo) ; 김기중(Ki-jung Kim) |
| DOI |
https://doi.org/10.5573/ieie.2024.61.6.22 |
| Keywords |
Generative AI; Social network analysis; Big data; Online news |
| Abstract |
The development and application of artificial intelligence and big data have reshaped national competitive advantages and become new drivers for economic transformation and growth. Governments around the world are accelerating the construction of digital infrastructure, significantly advancing the application of AI in various economic and social fields. This study utilized text mining and network analysis of Korean online news data to identify key keywords and their associations related to generative AI. In the analysis results, the most commonly used keywords were 'company', 'service', and 'intelligence', and these keywords represented the top values of the Centralities value in the network. As a result of the CONCOR analysis, six word clusters were formed: Cluster 1 was formed under the theme of 'major companies and utilization of generative AI', Cluster 2 was 'planning on applying generative AI', Cluster 3 was 'generative AI in the Korean financial industry', Cluster 4 was 'the field of use of generative AI', Cluster 5 was 'economic growth related to the generative AI of giant companies', and Cluster 6 was 'generative AI's American perspective'. In conclusion, generative AI provides digital and data-driven services across various fields, and it is essential to maximize its potential through continuous research and investment. |