If speed’s your thing, spaCy’s pipeline system is *chef’s kiss*. But NLTK’s got more academic vibes—better for experimenting.
For preprocessing, check out `clean-text` on PyPI. It normalizes weird chars, quotes, etc., before you even start parsing.
Oh, and always benchmark! What’s “fast” depends on your data size. Here’s how I test: [Link to benchmarking snippet].
For preprocessing, check out `clean-text` on PyPI. It normalizes weird chars, quotes, etc., before you even start parsing.
Oh, and always benchmark! What’s “fast” depends on your data size. Here’s how I test: [Link to benchmarking snippet].
