Text Classification

Introduction

When we build machine-learning models, we use the text classification technique as a first step to overcome the lack of labels, especially when we have two datasets: one dataset with labels and the other without.

This process involves creating a new label for the second dataset using an existing text classification model. Therefore, we define text classification as a technique that classifies text content into predefined groups or categories. Here’s a table of a few commonly used classifiers for text classification and a brief description of when to use each: