A Bayesian text classification algorithm based on weighted discrimination

摘要

Text classification algorithms based on artificial intelligence can automatically perform massive text classification tasks based on text semantics, which can help to improve the performance of information categorization and classification. By studying the Bayesian model and inspired by the probabilistic mass function, this paper designed and implemented a Bayesian text classification algorithm based on weighted discrimination, experimental results indicate that our algorithm can effectively improve text classification performance.