In this online event, Katie Gross (Lead Data Scientist, Dataiku) will walk through a project built in Dataiku DSS using NLP to predict which user generated recipes are likely to be highly rated.

The presentation will be followed by Q&As and breakout discussions to deep dive into the basics of NLP or exchange best practices with fellow participants.

Agenda:

• 12:00 pm - Introduction
• 12:05 pm - Presentation on "Using NLP to find the Internet’s Favorite Recipe"
• 12:20 pm - Q&As
• 12:30 pm - Breakout groups discussions: NLP basics or Best practices around NLP
• 12:50 pm - Wrap-up

Presentation abstract:

Want to judge whether your recipe will be a hit? Or in general, what user-generated content is likely to lead to high engagement? We developed a workflow in Dataiku DSS that uses NLP to predict which recipes are likely to be highly rated. We’ll walk you through how we webscraped text recipes from popular recipe-sharing sites like Allrecipes and Epicurious, cleansed and prepared the data, and built a machine learning model to predict ratings of future recipes.

Katie Gross is a Data Scientist at Dataiku, where she helps clients across industries develop AI solutions using Dataiku DSS. Previously, she worked as a data scientist at a marketing science firm, Schireson and spent several months as a freelance data scientist. Prior to her data science life, Katie spent three years as a CPG consultant at Nielsen. Katie holds a BA in Economics from Colgate University.