언론기사 빅데이터 분석을 통한 대규모 언어모델기술 인식 분석 연구

A Study on Technological Perception Analysis of LLMs through Big Data Analysis of News Articles

초록

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.

키워드

Large Language ModelLLM Technology EntrepreneurshipGenerative Language ModelChatGPT
제목
언론기사 빅데이터 분석을 통한 대규모 언어모델기술 인식 분석 연구
제목 (타언어)
A Study on Technological Perception Analysis of LLMs through Big Data Analysis of News Articles
저자
이영숙이진규
DOI
10.9717/kmms.2024.27.2.287
발행일
2024-02
저널명
멀티미디어학회논문지
27
2
페이지
287 ~ 298