The Application of Big Data Based Statistical Technology to Improve the User Experience of Products

The advent of the era of big data has become the consensus of the whole society. Only by mastering the analysis skills of big data can we make intelligent matches with demands and enhance the user experience in products. The purpose of this paper is to study the application of improving the user experience degree of a product based on big data statistical technology. Using review data from the F brand car website as the research object, the big data statistical technique is constructed in the face of the characteristics of Internet text data. This is followed by an introduction to the strategies used in this study for Chinese text mining, the development tools and the parameter optimisation of the SVM algorithm for big data statistical techniques. The testing process and results of SVM classification models generated by different kernel functions are presented, analysed and evaluated. The tests show that the SVM algorithm using Gaussian kernel functions enables optimal sentiment classification accuracy in this study.