Research On Product Demand Scheme Optimization Based On User Online Comment

Iterative optimization is a major feature of Internet product development.User requirements as the core of product iteration,has always been the focus of business attention.Product design is an important part of product iterative design,The core content is the optimal configuration of product requirements.With the advent of the web2.0 era,User online commentary provides a new way for companies to obtain user demand information.How to use the implied demand information in online reviews to assist and support enterprises to effectively optimize the allocation of product requirements is a research topic worthy of attention.This paper takes an App product of Company A as the research object,and proposes a product demand optimization configuration method based on user online comment.This method extracts user demand information from user comments and counts the word frequency of user demand feature words.And determine the degree of user attention to the information by the frequency of the word frequency,and then determine the importance of the demand,and configure the demand according to the technical resource constraints of the enterprise.Finally,the optimized product plan is compared with the original product plan to verify its feasibility and effectiveness.Through the solution of the model,it is found that in the case of limited development resources of the enterprise,a reasonable product configuration scheme can not only effectively meet the needs of users but also maximize the utilization of enterprise resources.