Skip to main content
C C++ Java Python PHP C# HTML CSS JavaScript Bootstrap Node.js Express.js React.js Next.js Tailwind TypeScript Dart Angular Vue.js Spring Boot Django Flask ASP.NET Material UI Chakra UI Sass MongoDB MySQL Oracle C C++ Java Python PHP C# HTML CSS JavaScript Bootstrap Node.js Express.js React.js Next.js Tailwind TypeScript Dart Angular Vue.js Spring Boot Django Flask ASP.NET Material UI Chakra UI Sass MongoDB MySQL Oracle
SQL Server Firebase PostgreSQL MariaDB Swift Kotlin React Native R Julia Scala NLP ML DP NN Gen AI JUnit Jest Pytest Selenium Cypress AWS Azure Google Cloud Stack Queue Linked List Trees Graphs SQL Server Firebase PostgreSQL MariaDB Swift Kotlin React Native R Julia Scala NLP ML DP NN Gen AI JUnit Jest Pytest Selenium Cypress AWS Azure Google Cloud Stack Queue Linked List Trees Graphs
Advanced 10 planned topics AI

Introduction to Natural Language Processing

Learn NLP ideas: tokenization, embeddings, and text classification. Free NLP introduction.

Learning Outcomes

  • Explain tokenization and stop words
  • Describe bag-of-words versus embeddings
  • Outline a text classification project
  • Know common evaluation metrics for NLP

Overview

Natural language processing turns text into data a model can use: tokens, embeddings, and labels.

This page introduces the pipeline from raw text to a simple classifier.

Python is the usual implementation language.

What this course will cover

  1. 1. Tokens
  2. 2. Normalization
  3. 3. Features
  4. 4. Embeddings
  5. 5. Classification
  6. 6. Eval

Start a complete tutorial now

Full 6-level lessons are live for C, C++, Java, Python, and JavaScript. Use them while the remaining Natural Language Processing lessons are added.

← All technology tutorials