Provides unified interfaces for Active Learning so that you can easily mix and match query strategies with classifiers provided by sklearn, Pytorch, or transformers.; Supports GPU-based Pytorch models ...

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text ...

By combining machine learning-based text classification and sentiment analysis, we can create a robust AI-powered email triage system. Here’s a step-by-step guide.

We will learn how to classify text using deep learning and without writing code. We will practice by building a classification model trained in news articles from the BBC.

In previous articles, we learned how to perform advanced, BERT-powered, automated intent classification in Python. We also learned how to automatically populate Google Sheets in Python. One ...