The personalized English learning system is an innovative system that integrates deep data processing and artificial intelligence technology. Its characteristics include richness, diversity, and flexibility. By using artificial neural networks in computers, the system can provide more accurate information analysis. This chapter conducts research based on a deep learning algorithm that effectively improves prediction accuracy to develop digital learning resources for a university. This chapter also uses deep learning algorithms to build an emotional dictionary design database management system. Generating feature files through the training set realizes the modeling and simulation testing of the personalized English online reading system to achieve the goals of personalized recommendation and intelligent classification. This chapter then tests the basic operational performance of the system. The test results showed that the response time of the system for receiving data was 2–5 s, the time for processing data was 3–6 s, and the system delay time was 1–3 s; its stability was tested through 5 sets of experimental datasets, and the result was over 93%; and the classification accuracy was excellent in classifying English learning samples, with the result reaching up to 100%. The system will provide English learners with a more convenient and personalized learning experience.