基于数据挖掘的经济销售行为分析

Analysis of Economic Sales Behavior Based on Data Mining

基于大数据分析指导销售策略,提高经济销售量是网络销售的核心问题之一.论文基于数据分析挖掘情感词,构建词向量矩阵;通过最小平方拟合动态分析产品评级变化趋势;然后通过互信息法构建评级模型,研究市场关注的商品属性及满意度关系;进而确定产品的设计特征与成功和失败的衡量标准,从而找到合适的销售策略.

Based on big data analysis to guide sales strategies,increasing economic sales is one of the core issues of online sales.The thesis mines emotion words based on data analysis and constructs a word vector matrix;dynamically analyzes the change trend of product ratings by least square fitting;then builds a rating model through mutual information method to study the product attributes and satisfaction relationships that the market focuses on,and then determines product design Features and measures of success and failure to find the right sales strategy.