Understanding the basics of text classification
Text classification is the task of assigning a set of predefined labels to text. Given a set of predefined classes and some text, you want to understand which predefined class this text falls into. We have to determine the classes ourselves by the nature of our data before starting the classification task. For example, a customer review can be positive, negative, or neutral.
Text classifiers are used for detecting spam emails in your mailbox, determining the sentiment of customer's reviews, understanding customer's intent, sorting customer's complaint tickets, and so on.
Text classification is a fundamental task of NLP. It is gaining importance in the business world, as it enables businesses to automate their processes. One immediate example is spam filters. Every day, users receive many spam emails but most of the time never see these emails and don't get any notifications because spam filters save the users...
