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NLP used for prediction - April 8th online event

Community Manager
Community Manager
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In this online event, Katie Gross (Lead Data Scientist, Dataiku) will walk through a project built in Dataiku DSS using NLP on data from popular cooking sites, to predict whether a recipe is 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.
 
Make sure to sign up on Eventbrite to receive the Zoom link and add the event to your calendar!
 
Agenda:
  • 12:00 pm - Introduction
  • 12:05 pm - Presentation on “Using NLP to find the Internet’s favorite recipes”
  • 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.