A package for natural language processing toolkit.
NLTK (Natural Language Toolkit) is a Python library for working with human language data. It provides tools for text processing, linguistic analysis, and building natural language processing (NLP) models.
NLTK is an accessible toolkit for classical NLP tasks. While more modern libraries like spaCy or Transformers are preferred for production systems, NLTK remains valuable for learning, prototyping, and linguistic exploration.
Key Features:
- Tokenisation: breaking text into words or sentences.
- Stopwords removal: filtering out common non-informative words.
- Stemming and Lemmatization: reducing words to base/root forms.
- Part of speech tagging: identifying parts of speech (e.g., noun, verb).
- Named Entity Recognition (NER)
- Parsing and Treebanks
- Access to many corpora (e.g., Gutenberg texts, WordNet)