Melvin Wevers - Discussant

In this hands-on session, Melvin Wevers will show how he extracted a particular type of articles, namely recipes, from digitized newspapers. Using machine learning and an existing collection of annotated modern recipes, he managed to extract over 27 thousand recipes from four newspapers between 1950 and 1990. Also, he will showcase how nutritional information can be extracted from these recipes and how they can be automatically classified using tags.
27 Feb 2019

ID: 9715036