Rating is available when the video has been rented.
This feature is not available right now. Please try again later.
Published on Mar 16, 2020
Prodigy is a modern annotation tool for collecting training data for machine learning models, developed by the makers of spaCy. In this video, we'll show you how to use Prodigy to train a named entity recognition model from scratch, by taking advantage of semi-automatic annotation and modern transfer learning techniques.
STEP BY STEP 03:24 – Create a phrase list and match patterns for ingredients 09:24 – Label all ingredients in a sample of texts from r/Cooking with the help of match patterns 19:25 – Train and evaluate a first model to see if we're on the right track 24:44 – Label more examples by correcting the model's predictions 31:56 – Train a new model with improved accuracy 34:11 – Run model over 2m+ Reddit comments and count the mentions over time 37:00 – Select interesting results and visualize them