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Description
textacy is a Python library for performing higher-level natural language processing (NLP) tasks, built on the high-performance Spacy library. With the basics — tokenization, part-of-speech tagging, parsing — offloaded to another library, textacy focuses on tasks facilitated by the availability of tokenized, POS-tagged, and parsed text: keyterm extraction, readability statistics, emotional valence analysis, quotation attribution, and more.
Repository
https://github.com/chartbeat-labs/textacy.git
Project Slug
textacy
Last Built
4 months ago failed
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Public
Short URLs
textacy.readthedocs.io
textacy.rtfd.io
Default Version
stable
'latest' Version
master