SMS Text Classification Model Based on Machine Learning

Abstract

Text classification is an important problem in natural language processing. The main task is to divide the text into different categories according to the content of the text. This article preprocesses the text in the SMS data set used to a certain extent, using the Tf-Idf model. The frequency of the text unit is counted as the feature value of the corresponding vector of the text, so that the text is converted into a vector, and then these vectors are fitted and predicted by the support vector machine algorithm.