Shared Learning Platform for English Based on Feature Extraction Algorithm

Feature extraction algorithms are of great significance in the fields of machine learning and computer vision, but currently English learning resources are limited and there is a lack of a shared learning platform to promote knowledge dissemination and communication. 20 experts were invited to participate, and the results indicated that participants using the platform achieved significant improvements in algorithm accuracy, with an average improvement range of 0.06 to 0.07. This showed that the English shared learning platform for feature extraction algorithms plays an important role in improving algorithm performance. This platform not only provides learning resources and communication opportunities, but also promotes algorithm improvement and knowledge dissemination, thus providing valuable tools for the learning and development of feature extraction algorithms. The recall rate of the Bag-of-words model model is 0.80; that of the TF-IDF is 0.84; that of the Word2Vec is 0.88. Future research should further optimize the user friendliness of the platform and strengthen cooperation and communication to promote further development in this field.