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Text Mining YouTube Comment Data with Wordfish in R

Authors
Topics:

Reviewed by:

  • Janna Joceli Omena
  • Heather Lang

Learning outcomes

After completing this lesson, you will be able to:

  • Use YouTube Data Tools to download video comments and metadata
  • Use R to sort and clean the comment data
  • Use Wordfish to analyze and visualize the comment data to search for underlying meaning and ideological positioning within
Interested in learning more?

Check out this lesson on Programming Historian's website

Go to this resource

Cite as

Alex Wermer-Colan, Nicole Lemire Garlic and Jeff Antsen (2024). Text Mining YouTube Comment Data with Wordfish in R. Version 1.0.0. Edited by Nabeel Siddiqui. ProgHist Ltd. [Training module]. https://doi.org/10.46430/phen0120

Reuse conditions

Resources hosted on DARIAH-Campus are subjects to the DARIAH-Campus Training Materials Reuse Charter

Full metadata

Title:
Text Mining YouTube Comment Data with Wordfish in R
Authors:
Alex Wermer-Colan, Nicole Lemire Garlic, Jeff Antsen
Domain:
Social Sciences and Humanities
Language:
en
Published to DARIAH-Campus:
12/11/2024
Originally published:
8/7/2024
Content type:
Training module
Licence:
CCBY 4.0
Sources:
Programming Historian
Topics:
DH, Open access, Open education
Version:
1.0.0