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Python package that implements the SS3 text classifier (with visualizations tools for XAI)

Project description

# PySS3: A python package implementing a novel text classifier with visualization tools for Explainable AI [![Documentation Status](https://readthedocs.org/projects/pyss3/badge/?version=latest)](http://pyss3.readthedocs.io/en/latest/?badge=latest) [![Build Status](https://travis-ci.org/sergioburdisso/pyss3.svg?branch=master)](https://travis-ci.org/sergioburdisso/pyss3)

The SS3 text classifier was originally introduced in Section 3 of the [paper](https://dx.doi.org/10.1016/j.eswa.2019.05.023) entitled _”A text classification framework for simple and effective early depression detection over social media streams”_ (preprint available [here](https://arxiv.org/abs/1905.08772)).

SS3 highlights:

  • A novel text classifier having the ability to visually explain its rationale.

  • Domain-independent classification that does not require feature engineering.

  • Naturally supports incremental (online) learning and incremental classification.

## Installation

### PyPi installation

Simply type:

pip install pyss3

### Installation from source

To install latest version from github, clone the source from the project repository and install with setup.py:

git clone https://github.com/sergioburdisso/pyss3
cd pyss3
python setup.py install

## API Documentation

Full API documentation can be found [here](https://pyss3.readthedocs.io)

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