Research on Product Improvement Strategies Based on Negative Semantic Networks
WANG Lu
ZHANG Mengke
Abstract：The collaborative analysis of sentiment analysis and semantic network analysis can realize the vertical and horizontal comparative analysis of multiple enterprises and their products,thus enhancing the dimension of sentiment analysis.In the experiment,the SnowNLP sentiment analysis model is used to score the sentiment of comments on several mobile phones.The negative comments are selected and the ForceAtlas2 complex network analysis model is used for semantic network modeling to present the internal relationship between key words in the form of a network.The research results show that in terms of brands,Huawei and Honor have more negative comments than other brands.In terms of performance,the photo-taking effect,system fluency,etc.need to be improved.In terms of service,the logistics,packaging and other links need to be improved.These pain points of smartphone use feedback by users can provide enterprises with a reference for clarifying the optimization direction of product performance.
Keywords：text miningsentiment analysissemantic networkproduct competitiveness
Publication Date：2025-03-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 72-76 )