Knowledge Mining (Verseagility)
Knowledge mining on unstructured data sets with no data labeling.
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Accelerator Description
Verseagility is a Python-based toolkit to ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production. It is a central component of the Microsoft Data Science Toolkit.
Process Description
Verseagility featured on an epsiode of the AI Show, Timm Walz joins Seth to talk about how ramping up your custom NLP tasks with Verseagility will benefit your data science workflow. Showcasing how to use the toolkit in combination with Azure Machine Learning.
Prerequisites
- Access to an Azure subscription
- Access to an Azure DevOps subscription
- Service Principal Account
Live Demo
https://verseagility.azurewebsites.net/
Use Case
- Binary, multi-class & multi-label classification
- Named entity recognition
- Question answering
Repository Structure
