Research on user review mining and sentiment analysis of E-commerce platform based on LDA:taking Jingdong Mall App as an example
User comment text mining and analysis have important practical application value in multiple fields.The article selects the user comment dataset of Jingdong Mall as the research object,and uses various methods to conduct in-depth data mining and analysis on it.Firstly,extract keywords through TF-IDF to reveal the core theme of the comment,and then analyze high-frequency words to understand the user's focus and overall evaluation of Jingdong Mall's services.Secondly,sentiment analysis technology is used to classify the emotional tendencies of comment texts,aiming to determine the emotional color of comments and provide useful references for product improvement and market positioning of Jingdong Mall.Finally,using the LDA topic model to analyze the theme of the comment text,the implicit themes and topic distribution in the comment are excavated,further revealing the different views and needs of users on the product or service,and providing targeted improvement strategies and opinions for Jingdong Mall.
NETL
NSTL
万方数据
