Research On Influencing Factors Of Fitness APP Continuous Use Behavior Based On Text Mining Technology

According to the statistics of the Ministry of Industry and Information Technology,the scale of China Mobile’s monthly Internet users reached 1.138 billion in the first quarter of 2019.The user’s dependence on the Internet is gradually increasing,which not only brings a huge user volume to the mobile application market,but also brings a very broad development prospect.With the rapid development of the economy and the continuous improvement of living standards,people’s consumption needs have gradually become diversified,paying more attention to their own health and sports.In the Internet environment,many users will express their experience and demand for a product or service by publishing online reviews.These reviews often contain a lot of valuable information.However,because these text messages are fragmented and messy,the simple use of manual processing will consume a lot of time and labor costs.Therefore,text mining technology can be used to extract,summarize and analyze the review information to obtain users in a timely and accurate manner.The influencing factors of use experience enable merchants to more targeted change marketing strategies,rationally allocate and utilize resources.This article first systematically introduces the relevant theories and main technologies for continuous use,the current status of research on online reviews,and the main technologies used in the text mining process;second,pre-processing fitness APP reviews obtained from the APP Store and Android store,etc.,According to the TF-IDF algorithm,extract the high-value feature words in the review text,and then perform clustering processing and word frequency statistics on the collected high-value feature words.According to the processing results,summarize the relevant factors that affect the continuous use of fitness APP users and establish A model of influencingfactors based on users’ continuous use.Finally,the model is empirically verified.The model is verified using the questionnaire survey method.The collected questionnaires are sequentially analyzed by the statistical analysis tool SPSS5.0 factor analysis,reliability analysis,correlation analysis and regression analysis.According to the empirical results,Provide reasonable suggestions for the development and operation of the enterprise.