NLTK

NLTK is the classic library for teaching and researching NLP. While slower than spaCy, it offers comprehensive linguistic data.

When to Use

• Education: Learning how tokenizers or stemmers work from scratch.
• Lexical Resources: Access to WordNet, FrameNet, and huge corpora.
• Low-level Text Processing: Porter/Snowball stemmers.

Core Concepts

Corpora

nltk.download('gutenberg'). Access to classic texts.

Tokenization

Splitting text into words/sentences.

Best Practices (2025)

Do:

• Use for Education: Excellent for linguistics classes.
• Use for Lexical Lookups: WordNet interface is still useful.

Don't:

• Don't use in Production: Use spaCy or Hugging Face. NLTK is slow and string-based.

References

• NLTK Documentation