The revitalization of industrial heritage sites is not only an important component of urban transformation and cultural heritage protection, but also a key approach to promoting sustainable development, stimulating urban innovation and regenerating vitality. This study combines network text analysis and IPA analysis to explore the constituent elements of leisure perception in industrial heritage parks and their relationship with visitor satisfaction. ROST CM6 software is applied to mine a large amount of network textual data. The study first selects high-frequency words closely related to leisure experiences, followed by semantic analysis and sentiment assessment. Based on the word frequency, sentiment analysis, and relevant literature research, the study further divides leisure perception elements into five categories: landscape resources, visit experience, infrastructure, emotional experience, and service management, and then analyzes visitor satisfaction through IPA. The study finds that visitors' valuing of the original industrial style and sense of historical era, their desire for historical education and inheritance of the red spirit, and their demand for improvement of service facilities and operation levels constitute the key dimensions of satisfaction. This is expected to provide empirical reference for the protection of industrial heritage and tourism development.