library

NLTK

NLTK (Natural Language Toolkit) is a Python library for working with human language data, providing easy-to-use interfaces to over 50 corpora and lexical resources along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning. It is widely used for building Python programs that process natural language and is particularly popular in academic and research settings for teaching and prototyping NLP applications.

Also known as: Natural Language Toolkit, NLTK Python, NLTK Library, Natural Language Processing Toolkit, NLP Toolkit
🧊Why learn NLTK?

Developers should learn NLTK when working on natural language processing (NLP) projects such as text classification, sentiment analysis, language translation, or chatbots, especially in educational or research contexts where ease of use and comprehensive documentation are priorities. It is ideal for beginners in NLP due to its extensive tutorials and built-in datasets, though for production systems, more modern libraries like spaCy might be preferred for performance.

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