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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

Last Built

1 week, 5 days ago failed

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Public

Short URLs

textacy.readthedocs.io
textacy.rtfd.io

Default Version

stable

'latest' Version

master