Skip to content
Sentiment Analysis System based on B4MSA and EvoDAG
Python PowerShell Erlang Batchfile
Branch: master
Clone or download
Latest commit ec700e4 Jun 6, 2019
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
EvoMSA Fixing bugs May 27, 2019
conda-recipe Fixing bugs May 27, 2019
continuous-integration Miniconda version Dec 3, 2018
docs docs on HA Apr 12, 2019
.coveragerc
.gitignore Initial commit Dec 4, 2017
.travis.yml Improving performance TextModelPredict Mar 26, 2019
LICENSE Initial commit Dec 4, 2017
MANIFEST.in Missing file (cython_utils) in pip May 17, 2019
README.rst fit in Identity May 24, 2019
appveyor.yml print Feb 28, 2019
environment.yml Update environment.yml Mar 26, 2019
readthedocs.yml docs and twine Dec 11, 2018
requirements.txt requirements Sep 25, 2018
setup.py

README.rst

EvoMSA

https://travis-ci.org/INGEOTEC/EvoMSA.svg?branch=master https://ci.appveyor.com/api/projects/status/wg01w00evm7pb8po?svg=true https://coveralls.io/repos/github/INGEOTEC/EvoMSA/badge.svg?branch=master https://readthedocs.org/projects/evomsa/badge/?version=latest

EvoMSA is a Sentiment Analysis System based on B4MSA and 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.

You can’t perform that action at this time.