Topic Modeling with Jupyter Notebooks with David Kloster and Katie Chapman
Citation
Kloster, David and Katie Chapman. "Topic Modeling with Jupyter Notebooks" 21 Feb 2020. Services for Digital Humanities and Creative Activities Series. Scholars' Commons, Wells Library, Indiana University, Bloomington.
Description
This workshop introduces 3 different kinds of topic modeling using Jupyter Notebooks. LDA is often seen as the most popular but latent semantic analysis and word2vec can augment and reveal other aspects of how your corpus is functioning. This workshop discusses how to use them and how to decide which one, if any, are right for your research.
Date
Feb 2020
Projects
Services
Text Analytics
Type
Presentation