Prodigy is a new, active learning-powered annotation tool from the makers of spaCy. In this video, we'll show you how to use Prodigy to train a classifier to detect disparaging or insulting comments. Prodigy makes text classification particularly powerful, because you can try out new ideas very quickly. The same approach can be used to solve problems such as sentiment analysis or chatbot intent detection.
IMPORTANT NOTE Since this video was recorded, the `textcat.teach` command has changed in one detail: instead of a --seeds argument, you can now pass in --patterns, which lets you describe single words but also more complex combinations of tokens based on their attributes. To convert a seed dataset to patterns, you can use the `terms.to-patterns` recipe. For more details, see here: https://support.prodi.gy/t/523