PySS3: A Python package implementing a novel text classifier with visualization tools for Explainable AI
A recently introduced text classifier, called SS3, has obtained state-of-the-art performance on the CLEF's eRisk tasks. SS3 was created to deal with risk detection over text streams and, therefore, not only supports incremental training and classification but also can visually explain its rationale. However, little attention has been paid to the potential use of SS3 as a general classifier. We believe this could be due to the unavailability of an open-source implementation of SS3. In this work, we introduce PySS3, a package that implements SS3 and also comes with visualization tools that allow researchers to deploy robust, explainable, and trusty machine learning models for text classification.
Code (1)
Tasks
BIG-bench Machine LearningClassificationDocument ClassificationGeneral ClassificationMulti-Label Text ClassificationSentence ClassificationText Categorizationtext-classificationText ClassificationSimilar Papers 제목 키워드 기반
pyssam -- a Python library for statistical modelling of biomedical shape and appearance
pyssam is a Python library for creating statistical shape and appearance models (SSAMs) for biological (and other) shapes such as bones, lungs or other organs. A point cloud best describing the anatomical 'landmarks' of …
Image SegmentationMedical Image SegmentationSemantic Segmentationlibact: Pool-based Active Learning in Python
libact is a Python package designed to make active learning easier for general users. The package not only implements several popular active learning strategies, but also features the active-learning-by-learning meta-alg…
Active Learninghyperbox-brain: A Toolbox for Hyperbox-based Machine Learning Algorithms
Hyperbox-based machine learning algorithms are an important and popular branch of machine learning in the construction of classifiers using fuzzy sets and logic theory and neural network architectures. This type of learn…
XLM: A Python package for non-autoregressive language models
In recent years, there has been a resurgence of interest in non-autoregressive text generation in the context of general language modeling. Unlike the well-established autoregressive language modeling paradigm, which has…
Text GenerationFCMpy: A Python Module for Constructing and Analyzing Fuzzy Cognitive Maps
FCMpy is an open source package in Python for building and analyzing Fuzzy Cognitive Maps. More specifically, the package allows 1) deriving fuzzy causal weights from qualitative data, 2) simulating the system behavior, …