Information System of English Learning Platform Based on Feature Extraction Algorithm

With the trend of globalization, learning and understanding English has become more and more important. Due to its limitations, traditional English teaching methods can no longer meet the current growing demand for English learning. Although the current English teaching system can meet the needs of use to a certain extent, there are still many problems. Learning English is a three-dimensional process, including vocabulary memory, grammar learning, listening practice, etc. The best learning outcome should be their integration, not their independence. In addition, the process of learning English is also a highly personalized process: students of different English proficiency may face different learning tasks, which is a very important problem. In response to this problem, the original English learning system platform is being improved, and some new methods are adopted, such as applying feature extraction algorithms to the English learning platform, which has certain practical significance. This article aims to study an English learning platform based on feature extraction algorithms, and apply feature extraction algorithms to design and implement an effective English learning platform that can meet the needs of different users for significant learning difficulties and learning English. I'm learning. Experimental research shows that based on the feature extraction algorithm proposed in this paper and other model training and testing algorithms, the F value reaches more than 74%, which is in line with the expected results of the experiment. It proves that the model and calculation method established in this article are practical in practical applications.