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VERSION:2.0
METHOD:PUBLISH
BEGIN:VEVENT
UID:20260520T051024-868368529-northwestern.edu
DTSTAMP:20260520T051024
DTSTART:20250902T093000
DTEND:20250902T160000
SUMMARY:AI for Researchers: Topic Modeling to Categorize Text Documents (In-person)
LOCATION:Big Ten Room, Norris University Center
DESCRIPTION:Do you need to identify a set of themes from within a large collection of text documents? If so, topic modeling can help. For example, topic modeling can be used to identify recurring themes in news articles, discover research trends in scientific publications, or analyze public sentiment across social media posts. In this workshop, you will get a high-level overview of different existing techniques used for topic modeling which focuses on modern AI-driven approaches. You will also have ample time to work through step-by-step hands-on exercises to learn how to leverage AI-based topic modeling analysis techniques using real data through Python.\nPrerequisites: Basic familiarity with Python.\n\nPiP URL: https://planitpurple.northwestern.edu/event/629196
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ORGANIZER:Northwestern IT Research Computing and Data Services<do-not-reply@northwestern.edu>