Traditionally, zero-shot learning (ZSL) most often referred to a fairly specific type of task: learn a classifier on one set of labels and then evaluate on a different set of labels that the classifier has never seen before. Recently, especially in NLP, it's been used much more broadly to mean get a model to do something that it wasn't explicitly trained to do. In this session, we will explore how to run unsupervised text sentiment analysis with popular NLP library Hugging Face. We will look into ways how this innovative NLP approach can be integrated with Oracle tech.

свернуть