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.. image:: logo.png :align: center :alt: Spotlight Data Logo
.. image:: https://readthedocs.org/projects/preprocessing/badge/?version=latest :target: http://preprocessing.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status
Text pre-processing package to aid in NLP package development for Python3. With this package you can order text cleaning functions in the order you prefer rather than relying on the order of an arbitrary NLP package.
pip:
.. code-block:: console
pip install preprocessing
PyPI - You can also download the source distribution from:
https://pypi.python.org/pypi/preprocessing/ <https://pypi.python.org/pypi/preprocessing/>
_
You can then perform:
.. code-block:: console
pip install <path_to_tar_file>
on the tar file, or
.. code-block:: console
python setup.py install
on/inside, respectively, the extracted package to install preprocessing.
Once you have the package installed, implementing it with Python3 takes the following form:
.. code-block:: python
import preprocessing.text as ptext from preprocessing.text import keyword_tokenize, remove_unbound_punct, remove_urls
text_string = "important string at: http://example.com"
clean_string = ptext.preprocess_text(text_string, [ remove_urls, remove_unbound_punct, keyword_tokenize ])
print(clean_string) "important string"
Should the functions be performed in a different order (i.e. keyword_tokenize -> remove_urls -> remove_non_bound_punct) :
print(clean_string) "important string http example.com"
This package is comprised of a single module with no intended subpackages currently. The preprocessing package is dependent on NLTK for tokenizers and stopwords. However, ignoring this, the package only has built-in dependencies from Python 3.
If you feel like contributing:
Check for open issues <https://github.com/SpotlightData/preprocessing/issues>
_ or open a new issueCONTRIBUTORS.md <https://github.com/SpotlightData/preprocessing/blob/master/CONTRIBUTORS.md>
_This project is licensed under the MIT license (see LICENSE <https://github.com/SpotlightData/preprocessing/blob/master/LICENSE>
_)
FAQs
pre-processing package for text strings
We found that preprocessing demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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