Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on the interaction between computers and humans through natural language. This tutorial will cover the basics of NLP, including common tasks, tools, and resources.

Common NLP Tasks

  • Text Classification: Categorizing text into predefined categories.
  • Sentiment Analysis: Determining the sentiment of a piece of text.
  • Machine Translation: Translating text from one language to another.
  • Named Entity Recognition (NER): Identifying and categorizing entities in text.

Useful Tools

  • NLTK: A leading platform for building Python programs to work with human language data.
  • spaCy: An industrial-strength natural language processing library.
  • Transformers: A library for state-of-the-art NLP models.

Further Reading

For more information on NLP, check out our Advanced NLP Tutorials.

Images

Here are some popular NLP models:

Transformer
BERT
GPT