Customer satisfaction analysis based on SVM

Abstract

The current intense market competition environment force many enterprises take more and more attention to customer demands, and adopt effective methods to evaluate the importance of customer satisfaction. In order to analysis the customer’s actual need, enterprises need to use the effective data analysis method to analyze customer satisfaction. The economic development of e-commerce era has made the original offline entity transactions convert into online transactions. The way of traditional survey is no longer suitable for the analysis of customer satisfaction. For the lafite wine which sells on the tmall market, the author collected the data of many shops, adopted the method of SVM (support vector machine), analyzed the main factors that affect customer satisfaction, and find their own shortcomings at the end. This method improved the precision of the analysis of customer satisfaction, and can help policymakers understand the demand of customers.