Metadata-Version: 2.1
Name: EvoMSA
Version: 2.0.0
Summary: Sentiment Analysis System based on B4MSA and EvoDAG
Home-page: https://github.com/ingeotec/EvoMSA
Author: Mario Graff
Author-email: mgraffg@ieee.org
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
License-File: LICENSE
Requires-Dist: B4MSA
Requires-Dist: scikit-learn>=1.3.0

EvoMSA
==================================
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		:target: https://coveralls.io/github/INGEOTEC/EvoMSA?branch=develop

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		:target: https://badge.fury.io/py/EvoMSA

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		:target: https://anaconda.org/conda-forge/evomsa

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.. image:: https://colab.research.google.com/assets/colab-badge.svg
		:target: https://colab.research.google.com/github/INGEOTEC/EvoMSA/blob/docs/docs/EvoMSA2.ipynb   

EvoMSA is a Sentiment Analysis System based on
`B4MSA <https://github.com/ingeotec/b4msa>`_  and
`EvoDAG <https://github.com/mgraffg/EvoDAG>`_. EvoMSA is a stack
generalisation algorithm specialised on text classification
problems. It works by combining the output of different text models to
produce the final prediction.

The documentation is on `readthedocs <https://evomsa.readthedocs.io>`_.
