Research on Consumer Reviews of Sports Service Complexes Transformed from Old Industrial Plants Based on Topic Mining and Sentiment Analysis

As urban renewal progresses, transforming old industrial plants into sports service complexes has become a prevalent strategy to revitalize urban stock space. To evaluate the actual performance of this spatial reproduction from the users’ perspective, this study analyzes 3702 consumer reviews from five typical Chinese sports service complexes using an interdisciplinary text-mining framework. We employ the LDA topic model to extract core dimensions of consumer concern and utilize the DistilBERT model for fine-grained, sentence-level sentiment computation. The results reveal that consumer attention spans five key topics: venue services, cultural business districts, sports training, industrial integration, and heritage utilization. Critically, the sentiment analysis uncovers a structural paradox: while topics associated with cultural and heritage utilization trigger highly positive emotions and strong place identity, core functional modules like sports training and venue services generate substantial negative feedback. This disparity highlights a profound friction between rigid historical industrial architectural structures and the flexible demands of modern servicescapes, reflecting a clear path dependency in spatial transformation. Based on these theoretical and empirical findings, we propose targeted optimization strategies, including the structural reconstruction of training services and the flexible upgrading of basic venue facilities, to transition these complexes from initial physical construction toward long-term, service-oriented operation.