Natural Language Toolkit (NLTK) is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning.

Getting Started

If you are new to NLTK, here's a quick guide to get you started:

  • Installation: You can install NLTK using pip:
    pip install nltk
  • Corpora: NLTK comes with a variety of corpora, including the Brown corpus, the WordNet lexical database, and the movie reviews dataset.
  • Tokenization: Use word_tokenize to split text into words.
    from nltk.tokenize import word_tokenize
tokens = word_tokenize("NLTK is a leading platform for building Python programs.")
  • Part-of-Speech Tagging: Use pos_tag to tag tokens with their parts of speech.
    from nltk import pos_tag
tagged = pos_tag(tokens)

Resources

For more information, you can explore the following resources:

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