The Analysis of English Sentence Components Based on Decision Tree Classification Algorithm

Abstract

Decision tree is an important classification method in data excavation technology. It is a predictive analysis model expressed in the form of a tree structure (including binary trees and poly trees). The decision tree method is a more general classification function approximation method. It is an algorithm commonly used in predictive models to find some potentially valuable information by purposefully classifying a large amount of data. In this article, the author tries to analyze the English sentence components based on the decision tree classification algorithm. The author starts with the decision tree, extracts the decision tree rules, and generates a classifier by effectively sorting the decision tree rules, and applies it to classification prediction.