It was found that the process of carrying, storing, and forwarding data of sensing nodes ignored the content filtering of information carried by nodes by analyzing the cooperative process of mobile crowd sensing. As for purposeful data acquisition, this method of collecting data first and screening data later spent more time in analyzing and screening data. At the same time, the proportion of efficient data was not high. Taking these into account, a node selection mechanism based on sentiment text data screening in mobile crowd sensing environment combining genetic algorithm is designed. In the node selection mechanism, the perceptual nodes are selected by screening the data types so as to obtain the emotional text data of the mobile users in the perceptual environment. The experimental results show that the efficiency of data processing is increased by 27.6%, and the proportion of effective data is increased by 21% by using this method. Therefore, the method proposed in this study can effectively improve the efficiency of the whole data processing.