Collins Westnedge

Camp Counselor

Intro to Natural Language Processing

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Thursday, July 28, 2022 - 6:00 PM UTC, for 1 hour.

Regular, 60 minute presentation

Room: African 60

Natural Language Processing
Machine Learning
Data Science

This presentation will begin with a brief introduction into the field of Natural Language Processing. We will begin with the basics: how can we represent text in a way that our computers understand? What are the nuances of language we want to capture and model computationally, and in a more general sense what is NLP and how does it fit within the field of machine learning and data science? We will consider how is it used in business and what sort of questions can be answered through NLP. The purpose of these examples are accessible and simple practices that relate to business problems. These are common procedures that are found in a wide variety of contexts for which NLP can aid in problem solving. This presentation will be digestible for a wide range of audiences while providing a foundation into the field of natural language processing. The goal of this presentation is for everyone to walk away with a deeper understanding of the field and a basic understanding of how to approach NLP problems. It is time to demystify NLP and make some of these deeper concepts accessible to a larger audience. Bridging the gap between those who rely on this technology and the people who build it is paramount to the success of any business project, and the aim of this presentation is to build that understanding.


None! While Python is a useful tool for an audience member to have some experience in, the aim of this presentation is to be accessible and useful to a viewer that does not have any previous experience in the field.

Take Aways

  • An introduction to NLP
  • Leave with an understanding of how text can be understood computationally
  • Understanding of how to leverage text to improve your business
favorited by:
Dave Aronson Mark Oppedahl Simone LaMarche Emily Davis Mackenzie Albitz Edmund Greaves Tad Hadtrath Spenser Austin Mary Lou Essert Justin Weyenberg Jesse Dahir-Kanehl Brent Davis Clint Laskowski John Martin Mario Aranda Cameron Vetter Kris Kirkland Kayley Carey Dan Willman