| With the rapid progress and development of China’s economic market and society,the new era of mobile Internet has quietly arrived,at the same time,China’s residents for fitness demand is also growing,therefore,sports fitness this kind of APP came into being.The birth of the app of sports fitness provides sports fitness enthusiasts with very convenient sports fitness products and services,and KEEP APP is the representative product,but the development of APPKEEP is also facing serious challenges.In this context,by studying the actual needs and satisfaction of users when using sports fitness APP,finding the factors affecting user satisfaction,it is of practical significance for the rapid and long-term development of sports fitness APP,and this paper uses text mining and KANO model to study the problem by taking "KEEP APP" as an example.First,through python from the app store to grab "KEEP APP" user evaluation text,get comment text data,and use thejieba word breaker to improve,build feature thesaurus and emotional thesaurus,and then use snow NLP to comment on the text data feature words in the characteristic word emotional score,get emotional score,combined with the user evaluation text data in high frequency words for the cluster analysis of feature words,build feature-emotional word pair,emotional word classification,The emotional words containing adverbs are weighted,and the final structural emotional word score is calculated for product characteristic scores,product characteristic values are obtained,and demand classification is carried out using KANO model combined with feature words,which are basic needs,expectation needs and charm needs.Finally,combined with the classification of KANO requirements model and the negative evaluation ratio of feature words to calculate the demand priority,through the demand analysis at all levels,found that the user demand factors of KEEP APP.According to the user’s level of demand ranking,found that the top are updates,running,data,sports,fitness,therefore,KEEP APP in the development process,should pay attention to the actual needs of users,according to the user’s needs for product update iteration cycle adjustment,improve the nearer content and direction,to protect the basic needs of users,on this basis,should be product follow-up services,interface optimization,technical issues to improve,through optimizing these expectations and charm needs to enhance user satisfaction. |