Nlpcleaner 
Clean and prepare text for modeling with machine learning.
- lower all
- strip all
- remove numbers
- remove symbols
- remove url
- strip html tags
- remove stopwords by detected language or passed language
- lemming or stemming
Usage
from nlpcleaner import TextCleaner
TextCleaner(txt).clean()
Tests
pipenv install .
python setup.py test
Push on PyPi
python setup.py sdist
pip install twine
twine upload dist/*
TODO
- Add tests to cover different cases and languages;
- check performances
1 maintainer
Metadata
1 maintainer
Release files for nlpcleaner 0.3.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| nlpcleaner-0.3.1.tar.gz | 17.5 MB | Without provenance | Details |
Release files / nlpcleaner-0.3.1.tar.gz
| Download URL | nlpcleaner-0.3.1.tar.gz |
|---|---|
| Size | 17.5 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
268aa5ef03b1a4e09b22523e2bd25ac26cdbd142252a76034e77a05398845fc2
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| 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/4.40.2 CPython/3.7.5
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Security for nlpcleaner 0.3.1
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