Metadata-Version: 2.1
Name: nlptextprep
Version: 0.0.3
Summary: One step Python package for NLP friendly data preprocessing.
Home-page: https://github.com/pyscaffold/pyscaffold/
Author: Tashu
Author-email: tashu@relinns.com
License: MIT
Project-URL: Documentation, https://pyscaffold.org/
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Description-Content-Type: text/x-rst; charset=UTF-8
License-File: LICENSE.txt
Requires-Dist: importlib-metadata ; python_version < "3.8"
Provides-Extra: testing
Requires-Dist: setuptools ; extra == 'testing'
Requires-Dist: pytest ; extra == 'testing'
Requires-Dist: pytest-cov ; extra == 'testing'

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===========
nlptextprep
===========


    One Step Python Package to preprocess text data for NLP tasks. This package is designed to clean, transform, and standardize text data, making it an ideal choice for applications in natural language processing, text analysis, and data cleaning.


Installation
------------

.. code-block:: bash

   pip install nlptextprep

Usage
-----

.. code-block:: python

   from nlptextprep import preprocess_text

   text = "This is a sample text containing a #hashtag, 100+ @mention in 70% , (4 - 2)/7 and line breaks in https://botpenguin.com .\nCheck it out!"
   cleaned_text = preprocess_text(text)
   print(cleaned_text)


.. _pyscaffold-notes:

Note
====

This project has been set up using PyScaffold 4.6. For details and usage
information on PyScaffold see https://pyscaffold.org/.
