INTRODUCTION TO TOPIC MODELING AND TEXT CLASSIFICATION
¶by
Dr. W.J.B. Mattingly
¶Postdoctoral Fellow at the Smithsonian Institution's Data Science Lab
and
United States Holocaust Memorial Museum
How to Cite
¶Mattingly, William. Introduction to Topic Modeling and Text Classification, 2021. topic-modeling.pythonhumanities.com.
Introduction
¶This series of notebooks is meant to function as a textbook for topic modeling and text classification, tasks of natural language processing. If you find typos or errors in these notebooks, please do not hesitate to contact me either via Twitter or here on GitHub.
Acknowledgments
¶This topic modeling Textbook was created during my postdoctoral fellowship at the Smithsonian Institution’s Data Science Lab with collaboration at the United States Holocaust Memorial Museum. It would not have been possible without the help of Rebecca Dikow, Mike Trizna, and those in the Data Science Lab who listened to, aided, and advised me while creating these notebooks. I would also like to thank the content experts at the USHMM, specifically Michael Haley Goldman, Michael Levy, and Robert Ehrenreich.
