Text Classification using Machine Learning Techniques in NLP_luo x. efficient english text classification using

作者：禅与计算机程序设计艺术

1.简介

In this article we will explore text classification techniques used by Natural Language Processing (NLP) to classify documents or sentences into different categories based on their content and structure. We will discuss several machine learning algorithms such as Naive Bayes, Support Vector Machines (SVM), Decision Trees, Random Forest, K-Nearest Neighbors (KNN), Logistic Regression, Neural Networks, Deep Learning, etc., which are commonly used for text classification tasks. Additionally, we will look at the challenges of each algorithm and how they can be improved through hyperparameter tuning and feature engineering.

The main goal of our article is to help you understand how these various algorithms work and what kind of problems they may face while classifying texts. It should also enable you to implement your own text classification system using any of these algorithms in Python programming language with a high