Skip to main content

Lab Text Processing

LabHacker's Toolbox to Text Processing

Install

pip install lab-text-processing

Usage

First of all you need to install all mandatory nltk data:

from lab_text_processing.nltk import download_modules
download_modules()
from lab_text_processing.pre_processing import bow
bow, stem_reference = bow.('Texto que será transformado em uma Bag-of-Words',
                           extra_stopwords=('lista', 'de', 'stopwords', 'adicionais'))

Metadata

Release files for lab-text-processing 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for lab-text-processing 0.2.0
File Size Uploaded Provenance Actions
lab-text-processing-0.2.0.tar.gz 4.7 kB Without provenance Details for lab-text-processing-0.2.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for lab-text-processing 0.2.0
File Interpreter ABI Platform Actions
lab_text_processing-0.2.0-py2.py3-none-any.whl Python 2, Python 3 none any Details for lab_text_processing-0.2.0-py2.py3-none-any.whl

Total release size: 9.6 kB

Release files / lab-text-processing-0.2.0.tar.gz

Download URL lab-text-processing-0.2.0.tar.gz
Size 4.7 kB
Tags Source
SHA-256 checksum
How to use checksums
d8a698a1e80adf332ebf13c2b355bd6d08a9079403e914a4f541d1f2a97355ca
BLAKE2b-256 checksum
How to use checksums
8800be95b433013f45ea6e169ea53705617090e7caf11d8fcdc6743029fbeddd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.0.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.6.5

Release files / lab_text_processing-0.2.0-py2.py3-none-any.whl

Download URL lab_text_processing-0.2.0-py2.py3-none-any.whl
Size 4.9 kB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
1f29a51cd14ba6398b368bd79b2a50d06f62e5be4958a0ea69bc3bdd0a4fdb67
BLAKE2b-256 checksum
How to use checksums
024f84e5f342d6a296d09f7df54fdfda9d8fe0c018b485e8896f8b40d1564516
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.0.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.6.5

Security for lab-text-processing 0.2.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page