In order to help schools and counselors grasp the state of college students’ moral education in time and carry out the data mining of college students’ moral education, this paper puts forward a dynamic evaluation model of college students’ moral education data based on network media and data mining. This paper uses web crawlers to grab moral education data, extract and analyze keywords, grasp the moral education dynamics in time through K-means cluster analysis, obtain the hot topics they pay attention to in a period of time. Moreover, this paper provides targeted methods and strategies for college students’ moral education, and helps college students establish correct value orientation and ideas, which has important guiding significance. After optimization, the prediction accuracy of the model increases from 95.325% to 98.654%, which verifies that the model proposed in this paper can play an important role in the data mining of students’ moral education.