In this study, we use the method of textual emotion analysis to study the user satisfaction. First of all, we use the LDA model to establish the structure model of the user satisfaction. Then, the emotion tag of sentence is extracted based on dependency parsing technology, and the HowNet sentiment dictionary is combined with the semantic similarity algorithm to identify the sentiment tendency of the sentence. Finally, the fuzzy comprehensive evaluation method is used to study the user satisfaction. Taking Mobike for example, the research shows that the user satisfaction of Mobike bicycle is higher as a whole. However, the following phenomenon affects the improvement of customer satisfaction of Mobike, namely, required deposit is high, deposit refund is not timely, fault car is more, and the accuracy of positioning software is low.