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Text Classification

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TL;DR. The task of categorizing text documents into predefined classes or labels.

Technical Definition

The task of categorizing text documents into predefined classes or labels.

How it works

Text classification is a fundamental natural language processing task. Given a piece of text, the goal is to assign it to one or more categories, such as spam detection, sentiment analysis, or topic labeling. Machine learning models, including deep learning networks, are trained on labeled text datasets to perform this task.

Related Concepts

  • Classification — A supervised learning task where the model assigns inputs to discrete categories.
  • Machine Learning — A field of AI where systems learn patterns from data instead of following hard-coded rules.
  • Natural language processing (NLP) — A field of AI enabling computers to understand, interpret, and generate human language.