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Topic Modeling. How do we identify topics within a corpus of documents? In this part, we study unsupervised learning of text data. Specifically, we use topic models such as Latent Dirichlet Allocation and Non-negative Matrix Factorization to construct “topics” in text from the statistical regularities in the data.

Date & Time

Date:
April 4, 2024
Time:
5:00pm - 6:30pm

Location

Online via Zoom

Website

Website:
Event Details

Organizer

D-Lab

Event Category

Event Categories:
Professional Development Events