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.
关键词
文本挖掘/TF-IDA/LDA/电脑消费者/购买需求
Key words
text mining/TF-IDA/LDA/computer consumers/purchasing needs
维普
万方数据