content(cms): create Resource "text-mining-youtube-comment-data-with-wordfish-in-r/index"

content/posts/text-mining-youtube-comment-data-with-wordfish-in-r/index.mdx

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+---
+title: Text Mining YouTube Comment Data with Wordfish in R
+lang: en
+date: 2024-12-11T01:04:52.377Z
+version: 1.0.0
+authors:
+  - wermer-colan-alex
+  - lemire-garlic-nicole
+  - antsen-jeff
+editors:
+  - siddiqui-nabeel
+tags:
+  - dh
+  - open-access
+  - open-education
+categories:
+  - programming-historian
+featuredImage: images/text-mining-youtube-comments-original.jpg
+abstract: In this lesson, you will learn how to download YouTube video comments
+  and use the R programming language to analyze the dataset with Wordfish, an
+  algorithm designed to identify opposing ideological perspectives within a
+  corpus.
+domain: Social Sciences and Humanities
+targetGroup: Domain researchers
+type: training-module
+remote:
+  date: 2024-08-07T01:09:00.000Z
+  url: https://doi.org/10.46430/phen0120
+  publisher: ProgHist Ltd
+licence: ccby-4.0
+toc: false
+draft: false
+uuid: 68pWvHXZvWaMXL3MQrvuc
+---
+#### 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 
+
+<ExternalResource title="Interested in learning more?" subtitle="Check out this lesson on Programming Historian's website" url="https://doi.org/10.46430/phen0120" />