NLP, before and after spaCy
Project description
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.
Features
- Convenient entry points to working with one or many documents processed by spaCy, with functionality added via custom extensions and automatic language identification for applying the right spaCy pipeline
- Variety of downloadable datasets with both text content and metadata, from Congressional speeches to historical literature to Reddit comments
- Easy file I/O for streaming data to and from disk
- Cleaning, normalization, and exploration of raw text — before processing
- Flexible extraction of words, ngrams, noun chunks, entities, acronyms, key terms, and other elements of interest
- Tokenization and vectorization of documents, with functionality for training, interpreting, and visualizing topic models
- String, set, and document similarity comparison by a variety of metrics
- Calculations for common text statistics, including Flesch-Kincaid Grade Level and multilingual Flesch Reading Ease
... and more!
Links
- Download: https://pypi-hypernode.com/project/textacy
- Documentation: https://chartbeat-labs.github.io/textacy
- Source code: https://github.com/chartbeat-labs/textacy
- Bug Tracker: https://github.com/chartbeat-labs/textacy/issues
Maintainer
Howdy, y'all. 👋
- Burton DeWilde (burton@chartbeat.com)
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
textacy-0.10.0.tar.gz
(229.2 kB
view details)
Built Distribution
textacy-0.10.0-py3-none-any.whl
(206.7 kB
view details)
File details
Details for the file textacy-0.10.0.tar.gz.
File metadata
- Download URL: textacy-0.10.0.tar.gz
- Upload date:
- Size: 229.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.34.0 CPython/3.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0a824333f53d19d24ca864c92da52f3fecd412f4ef3e1448864c45f06189fd6d |
|
| MD5 | f7d84d9ef2938a2c2941f02681722136 |
|
| BLAKE2b-256 | 5404e428a9044ffa69bf0ddc72ef8106020488f637a59d44c809eb5cb0ec5e5c |
File details
Details for the file textacy-0.10.0-py3-none-any.whl.
File metadata
- Download URL: textacy-0.10.0-py3-none-any.whl
- Upload date:
- Size: 206.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.34.0 CPython/3.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 733f10231125486de51ac66d6aea23587ae517629cfc6d5f56de9f3ca6069f19 |
|
| MD5 | 97d20f2365a43e434a804e0f441e39ae |
|
| BLAKE2b-256 | f3fe0b57ac1a202de9819e71e8373980d586e824f515ad2f4266e4e98627f8b8 |
