Natural Language Processing (NLP) Resources

Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language. This guide provides a list of resources to help you learn more about NLP.

Online Courses

• Coursera: Natural Language Processing with Python

  • A comprehensive course covering the basics of NLP using Python.

• edX: Introduction to Natural Language Processing

  • Learn the fundamentals of NLP from the University of Michigan.

Books

• Natural Language Processing with Python

  • A practical book that teaches you how to perform NLP tasks using Python.

• Speech and Language Processing

  • A comprehensive textbook on the subject of speech and language processing.

Tutorials

• NLTK for Beginners

  • A step-by-step guide to using the Natural Language Toolkit (NLTK) for NLP tasks.

• SpaCy Documentation

  • Tutorials on using the SpaCy library for NLP.

Datasets

• Common Crawl

  • A repository of web crawled data that can be used for NLP research.

• Tweets

  • A dataset of tweets that can be used for sentiment analysis and other tasks.

Tools

• NLTK

  • A leading platform for building Python programs to work with human language data.

• SpaCy

  • An industrial-strength natural language processing library.

NLP in Action

Further Reading

For more in-depth learning, you can explore the following resources:

• Machine Learning
  • Learn about the broader field of machine learning and its applications.