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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.

Prerequisites: Python Text Analysis Fundamentals: Parts 1-2

Workshop Materials: https://github.com/dlab-berkeley/Python-Text-Analysis

Software Requirements:Installation Instructions

Date & Time

Date:
October 16, 2023
Time:
2:00pm - 5:00pm

Location

Online via Zoom

Website

Website:

Organizer

D-Lab