Research on the Classification Algorithm of Chinese Language and Literature System Based on Artificial Intelligence Technology

As a traditional discipline, the classification of books is an important and tedious task, and with the increasing number of books, it is difficult to rely solely on librarians to classify and proofread the huge number of books, especially for students to find books related to Chinese language and literature. Therefore, in order to promote the realization of automatic classification of Chinese language and literature books and to make the practical requirements of universities satisfied, this paper improves the traditional feature selection algorithm based on artificial intelligence technology, proposes a new kind of feature selection algorithm based on category differentiation, and designs and verifies the automatic text classification system. The results show that this feature selection algorithm has higher classification accuracy and is feasible and effective compared with the traditional feature selection algorithm.