Past Meetup

Live Topical Topic Modeling: From Ingestion to Learning to Visualization

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Come and take a peak how professional software engineers and data scientists code a project from A to Z. This live presentation will guide you through a step-by-step process of assembling, engineering and deploying a topic model (using Python and built-in libraries) in real-time.


Most of us think of search as typing in a few words into our favorite search engine and getting back a list of results. But search can be so much more.
Machine learning researchers have been finding more and more ways to use unsupervised learning methods to explore unstructured content. One of the leading methods is topic modeling, which discovers themes/topics in a large collection of data.
This tutorial will be a live topic modeling coding demo going through each step of the data science pipeline from the perspective of a data scientist.

Daewoo Chong is a software engineer/data scientist at Booz Allen Hamilton. He is currently a lead search engineer on an enterprise search project and has been using topic modeling and deep learning to tune relevance and search data in novel ways. His interests include rapid prototyping, information retrieval, natural language processing, and machine learning.


6:30-7:00 - Networking
7:00-7:10 - Introductions
7:10 - 8:10 - Talk
> 8:10- Socializing