NLTK

NLTK (Natural Language Toolkit) is a Python library for working with human language data, providing tools for tasks like tokenization, stemming, tagging, parsing, and semantic reasoning. It includes corpora, lexical resources, and algorithms for natural language processing (NLP), making it widely used in academia and industry for text analysis and language understanding.

Also known as: Natural Language Toolkit, NLTK library, Python NLTK, NLTK for Python, NLTK NLP

Why learn NLTK?

Developers should learn NLTK when building applications involving text processing, such as sentiment analysis, chatbots, or information extraction, as it offers pre-built modules and datasets that accelerate NLP development. It is particularly useful for prototyping and educational purposes due to its comprehensive documentation and ease of use in Python environments.

Learning Resources

• docs: NLTK Official Documentation
• book: Natural Language Processing with Python (NLTK Book)
• tutorial: NLTK Tutorial on Real Python
• video: NLTK Crash Course on YouTube
• course: Coursera: Natural Language Processing Specialization