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A recently introduced text classifier, called SS3, has obtainedstate-of-the-art performance on the CLEF's eRisk tasks. SS3 was created to dealwith risk detection over text streams and, therefore, not only supportsincremental training and classification but also can visually explain itsrationale. However, little attention has been paid to the potential use of SS3as a general classifier. We believe this could be due to the unavailability ofan open-source implementation of SS3. In this work, we introduce PySS3, apackage that implements SS3 and also comes with visualization tools that allowresearchers to deploy robust, explainable, and trusty machine learning modelsfor text classification.

PySS3: A Python package implementing a novel text classifier with visualization tools for Explainable AI