Natural Language Processing Fundamentals

3. Developing a Text classifier

Learning Objectives

By the end of this chapter, you will be able to:

• Describe the different types of machine learning algorithms
• Differentiate between unsupervised and supervised learning methodologies
• Distinguish between classification and regression problems
• Describe various sampling techniques
• Develop end-to-end text classifiers
• Evaluate models using metrics such as accuracy, precision, and recall
• Build pipelines for streamlining NLP projects
• Save and load models

In this chapter, you will learn about the various types of machine learning algorithms and develop classifiers with their help.

Introduction

In the previous chapter, you learned about various extraction methods, such as tokenization, stemming, ...