Research on Intelligent Classification And Grading Algorithm of English Composition Based on Support Vector Machine

We study the language characteristics that change the writing quality of language users to enhance the accuracy of the existing automatic evaluation system for writing using integrated learning technology. The FCE test sample in Cambridge is used, and the object is filtered by vector regression and random forest algorithm to establish and evaluate the automatic scoring mode. Compared with the existing technology, the accuracy of the evaluation using the integrated method is improved. This method effectively evaluates the writing efficiency of English learners and is used to develop a writing self-help evaluation system for large-scale computer tests and online autonomous learning systems.