基于LDA与情感分析的预制菜负面反馈归因研究

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中图分类号：TS201.6 文献标志码：A 文章编号：1674-0270（2025）32-0164-04

Research on Attribution of Negative Feedback of Pre-prepared Meals Based on LDA and Sentiment Analysis

HAN Ziyang，SONG Yuejia （ShenyangJianzhu University，Shenyang11O168，China）

Abstract：As the pre-prepared meal industry continues to develop， e- commerce platforms have become the primary consumptionchannels.Negative consumer reviews highlighting productand service pain points serve as crucial reference for business optimization. This paper focuses on negative reviews of pre-prepared meals on J e- commerce platform， conducts multidimensional analysis to identifycorecauses of negative feedback，and provides practical improvement strategies tailored to corporaterealities.Using Octopus datacollector for review data collction，thestudy performs preprocessing including data cleaning and word segmentation.TheLDA topic model is then applied to extract six key reviewthemes： product quality，promotionalauthenticity，tasteandhealth，packaging and logistics，pricingand costefectiveness，andcustomerserviceandafter-salessupport.Emotional intensityofeachthemeisthenquantifiedthrough sentimentanalysis，withconsumeratentionmeasuredbyreviewproportion todetermine thepriorityofnegative issues. Basedonthisframework，attribution analysis isconductedusingcharacteristic keywords fromeachtheme，andtargeted improvement strategiesare proposed.These findings provideactionable reference for pre-preparedmeal enterprises to precisely address consumer pain points and enhance market competitiveness.

Key Words： pre-prepared meals; negative feedback; LDA topic mining; sentiment analysis

在“懒人经济”和“宅经济”发展背景下，预制菜凭借便捷、高效的特点迅速进入大众消费市场，成为连接食品工业与家庭餐桌的重要形态。（剩余3520字）