Design and implementation of JD user comment emotion analysis platform based on LDA theme model
Using B/S architecture,using Python language and Django framework to build and develop a website.The core is to perform lexical analysis on JD user comments,including text preprocessing steps such as word segmentation,part of speech tag-ging,and stop word filtering.Next,sentiment analysis is conducted based on preprocessed data,and LDA topic modeling technol-ogy is used to extract the core information of comments,in order to reveal consumer preferences,needs,purchase motivations,as well as product advantages and disadvantages.After testing,the system ran smoothly and achieved the established goals.
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