Intro to Natural Language Processing
Thursday, July 28, 2022 - 6:00 PM UTC, for 1 hour.
AT THAT (In-Person Only) Regular, 60 minute presentation
This presentation will begin with a brief introduction into the field of Natural Language Processing. We will begin with the basics: 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 vs academic contexts, what are the common business use cases, and what sort of questions can be answered through NLP. First we will begin by exploring a text based data set. We will then deal with common procedures for cleaning and normalizing text, and from there will explore different methods for representing text computationally and business problems that call for these different representations. Examples include: topic modelin,g which allows us to understand key themes within a large body of text; text classification, in which text is used to make predictions, i.e. identifying spam or positive/negative sentiments; and named entity recognition, where we identify the entities to which specific words refer. 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 digestable for a wide range of audiences while providing a foundation into the field of natual 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 deepers 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.
- 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