As the basic task in the field of Natural language processing, text classification plays a crucial role in the case classification in the field of telecom Internet fraud, and has great significance and far-reaching impact on intelligent case analysis. The purpose of this task is to classify the given case description text, which contains the overall description of the case after being desensitized. We first used Ernie's pre training model to fine tune the case content to get the category of each case, and then used pseudo tags and model fusion methods to improve the current F1 value. Finally, we won the second place in the CCL23-Eval task 6 Telecom Internet fraud case classification evaluation. The evaluation index F1 value of this task is 0.8628, achieving a more advanced detection effect.