Consumer satisfaction in automotive spare parts e-commerce is shaped by multidimensional factors that are difficult to quantify through conventional survey methods. This paper presents an intelligent text mining framework that integrates multiple machine learning and natural language processing techniques to systematically extract and analyze consumer sentiment from 1,236 validated Taobao reviews. Specifically, TF-IDF (Term Frequency-Inverse Document Frequency) is employed for discriminative keyword extraction, semantic network analysis is applied to model inter-word relational structures, and LDA (Latent Dirichlet Allocation) topic modeling is used to discover latent thematic patterns, ide... More >