Research on the purchasing needs of computer consumers based on text mining technology
With the rapid development of e-commerce,online shopping has gradually replaced offline shopping.The massive evaluation of products by consumers after online shopping has become a huge wealth for businesses to analyze user consumption be-havior.In this situation,research on using text mining methods to extract user demand data and analyze it has emerged.Therefore,the computer consumers'purchase reviews of Jingdong are extracted through the network,preprocessed the data,and then used two text mining techniques(TF-IDA and LDA)to analyze the purchasing needs of computer consumers,and compared the results.Further search for more suitable text mining methods to study computer product information and consumer purchasing needs.
text miningTF-IDALDAcomputer consumerspurchasing needs
万方数据
维普
