Analysis of Startup Trends in Gyeongnam: Based on Text Mining and Topic Modeling

With the recent surge in interest in startups and technological innovation, related research has been increasingly growing. However, due to the rapidly changing nature of this field influenced by factors such as policy and environment, comprehensive analyses of startup trends remain limited. This study aims to analyze startup trends by examining the business plans of prospective entrepreneurs and startup companies operating in the Gyeongnam region. Based on text mining, the study extracted frequently appearing keywords and identified major topics within the business plans through keyword analysis and topic modeling. The analysis results revealed that health, marketing, AI, and environmental sustainability emerged as central themes, reflecting startup trends driven by the Fourth Industrial Revolution and digital transformation. Notably, in 2024, the significance of AI increased by approximately 25%, indicating its growing importance and application across various industries. Additionally, topics related to 'environment' and 'eco-friendliness' rose by about 18%, highlighting the increasing importance of environmental protection and sustainable management. Through this, the study identified the characteristics of the entrepreneurial ecosystem in the Gyeongnam region, expanded research on startup trends, and provided foundational data for the effective operation of startup support programs. This study offers insights for policymakers and support organizations to develop tailored startup support programs that align with the current entrepreneurial ecosystem and technological trends.