chartbeat-labs/textacy
NLP, before and after spaCy
This tool helps data scientists and NLP researchers prepare raw text for analysis and extract meaningful insights after initial linguistic processing. You input large collections of text, like speeches or articles, and it outputs structured information such as key terms, topic models, or readability scores. This is for professionals who work with text data and need to go beyond basic text processing to uncover deeper patterns and characteristics.
2,236 stars. Used by 4 other packages. No commits in the last 6 months. Available on PyPI.
Use this if you need to perform advanced text cleaning, information extraction, or topic modeling on large text datasets.
Not ideal if you only need fundamental NLP tasks like basic tokenization or part-of-speech tagging, as those are handled by an underlying library.
Stars
2,236
Forks
249
Language
Python
License
—
Category
Last pushed
Sep 22, 2023
Commits (30d)
0
Dependencies
14
Reverse dependents
4
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