Research on Classification of Scientific and Technological Documents Based on Naive Bayes

Abstract

Text classification is an important step for text mining in the direction of data mining. Today, text categorization techniques are widely used in various fields, such as user behavior analysis in shopping recommendation systems, and spam filtering, but text categories based on scientific literature are seldom studied. This article uses biological material information. The scientific literature of the aspect is text, and the naive Bayesian method is used to classify the literature into different topic types. It is evaluated through the model test standard in data mining to verify the validity of the method. Finally, the research trend of biological materials A simple analysis was performed.