Research On User Requirement Identification And Classification Of H Brand Phone Based On Online Reviews

The application of big data has become the development trend of e-commerce.How to extract valuable market information from big data to drive smarter and more profitable business decision is the main task in the Internet era.Taking online reviews as an example,product manufacturers have begun to pay attention to consumers' most authentic and reliable experience from online reviews for product innovation strategies.This article takes the H brand mobile phone as a research case.Through the company's spot investigation and interviews with product-related personnel,I found that there are three major problems in the customer requirement management of H brand mobile phones: lack of capability of response to customer requirement,insufficient utilization of requirement information,and unreasonable weights setting of customer requirement.These problems will lead to the failure of the product innovation strategy.Therefore,based on the practical problems of the enterprise,the paper researches on the requirement identification and classification of H-brand mobile phone,and provides managerial decision-making suggestions for product innovation strategy combined with the methods of online review mining and consumer requirement analysis.The main results of this study are as follows:(1)A consumer requirement identification method based on online reviews mining is proposed,which effectively improves the capability of response to customer requirement,and at the same time enriches the source of information for enterprises.(2)A consumer requirement classification method based on the KANO model is proposed.Taking the H brand mobile phone online review data as an example,the joint analysis method is used to quantitatively classified five kinds of requirement and analyze the effect of the satisfaction of these requirement on the consumer's utility.It could help companies develop more effective product innovation strategies.