언론기사 빅데이터 분석을 통한 대규모 언어모델기술 인식 분석 연구A Study on Technological Perception Analysis of LLMs through Big Data Analysis of News Articles
- Other Titles
- A Study on Technological Perception Analysis of LLMs through Big Data Analysis of News Articles
- Authors
- 이영숙; 이진규
- Issue Date
- Feb-2024
- Publisher
- 한국멀티미디어학회
- Keywords
- Large Language Model; LLM Technology Entrepreneurship; Generative Language Model; ChatGPT
- Citation
- 멀티미디어학회논문지, v.27, no.2, pp 287 - 298
- Pages
- 12
- Indexed
- KCI
- Journal Title
- 멀티미디어학회논문지
- Volume
- 27
- Number
- 2
- Start Page
- 287
- End Page
- 298
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/25938
- DOI
- 10.9717/kmms.2024.27.2.287
- ISSN
- 1229-7771
- Abstract
- This study analyzed the technological perception of the LLMs through the analysis of big data in media articles and examined the changes, focusing on before and after the advent of ChatGPT. The analysis revealed that before the advent of ChatGPT, words related to chatbots and education were predominant in media reports. After the emergence of ChatGPT, keywords shifted to business, various technology sectors, and corporate-related terms. N-gram analysis showed that in 2022, articles were primarily focused on chatbots and virtual assistants, also mentioning education and content creation. However, in 2023, LLMs gained attention in diverse fields like blockchain, security, and data utilization. Topic modeling results indicated that while 2022 emphasized the use of chatbot technology, 2023 saw an expansion in the use of LLMs across various technological sectors including finance, data technology, chatbots, and semiconductors. In conclusion, the advent of ChatGPT marked significant developments in the application of generative AI across various sectors like healthcare, finance, education, and content creation, showcasing the potential of LLMs.
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