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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
NLP, before and after spaCy
| Date | Stars |
|---|---|
| 2026-07-24 | 2239 |
| 2026-07-25 | 2238 |
| 2026-07-28 | 2238 |
| 2026-07-30 | 2238 |
| 2026-08-06 | 2238 |
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growth rate 0.00%/day
## textacy: NLP, before and after spaCy `textacy` is a Python library for performing a variety of natural language processing (NLP) tasks, built on the high-performance spaCy library. With the fundamentals --- tokenization, part-of-speech tagging, dependency parsing, etc. --- delegated to another library, `textacy` focuses primarily on the tasks that come before and follow after. [](https://travis-ci.org/chartbeat-labs/textacy) [](https://github.com/chartbeat-labs/textacy/releases) [](https://pypi.python.org/pypi/textacy) [](https://anaconda.org/conda-forge/textacy) ### features - Access and extend spaCy's core functionality for working with one or many documents through convenient methods and custom extensions - Load prepared datasets with both text content and metadata, from Congressional speeches to historical literature to Reddit comments - Clean, normalize, and explore raw text before processing it with spaCy - Extract structured information from processed documents, including n-grams, entities, acronyms, keyterms, and SVO triples - Compare strings and sequences using a variety of similarity metrics - Tokenize and vectorize documents then train, interpret, and visualize topic models - Compute text readability and lexical diversity statistics, including Flesch-Kincaid grade level, multilingual Flesch Reading Ease, and Type-Token Ratio ... *and much more!* ### links - Download: https://pypi.org/project/textacy - Documentation: https://textacy.readthedocs.io - Source code: https://github.com/chartbeat-labs/textacy - Bug Tracker: https://github.com/chartbeat-labs/textacy/issues ### maintainer Howdy, y'all. 👋 - Burton DeWilde (<[email protected]>)
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:b4102bf38ac5d05a, topic:nlp, topic:natural-language-processing, topic:spacy