Published in Data Science and Engineering (DSE) Record 2022 Vol. 3 No. 1 pp. 25-34
Abstract
This paper takes reviews of five different refrigerators in Jindong Mall as the research object, collects text review data on the e-commerce platform through a Python web crawler, classifies user sentiment after basic pre-processing operations such as de-weighting and cleaning, and analyzes user review text data through word separation processing, word frequency statis-tics, and display. The LDA theme analysis model is used to analyze the re-view data thematically, to obtain the valuable contents of the text review data through multifaceted analysis and make suggestions for the improve-ment of products.