Sentiment Analysis and Personalized Recommendations Based on Reviews


  • Yutong Zhang



Natural language processing, Sentiment analysis, Personalized recommendation, review.


The general big data personalized recommendation is based on the number of times or the length of time users click on a related content, but in many cases, these cannot be the most direct basis for accurate recommendation, and there may be cases such as wrong clicks by users. These factors and a large number of related products or articles recommended to users may cause users' disgust. This article conducts sentiment analysis on reviews as an example, obtains the user's likes and dislikes, and then makes accurate personalized recommendations, so that a greater understanding of preferences can improve the effect of recommendations, and more accurate personalized recommendations.


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31 July 2022

How to Cite

Zhang, Y. (2022). Sentiment Analysis and Personalized Recommendations Based on Reviews. Frontiers in Business, Economics and Management, 4(3), 25–28.