Using AI to Categorize Articles and Books

If you don’t know much about the book or article, you can use Claude (or ChatGPT) to suggest the categories.

This is an example for an article. For a book pick a URL with a good book review.

Example Prompt

Given only the categories and tags listed at: https://resources.indivisiblepv.info/categories-and-tags/

What are the one or more best categories and tags for this article at:

https://www.thenation.com/article/politics/organize-trump-musk-putsch

Claude Result:

Based on my analysis of both the categories/tags list and the article content, here are the best classifications:

Categories:

  • article (media type – this is an article reference)
  • resist-dictatorship (content – the core focus is organizing resistance to authoritarian takeover)
  • building-coalitions (content – emphasizes unifying grassroots opposition)
  • support-democracy (content – about defending democratic institutions)
  • story-current (content – addresses current political events)
  • organizers (content – written for political organizers and activists)

Tags:

  • rank-high (this appears to be a significant strategic piece for the resistance movement)
  • fascism (the article explicitly discusses “techno-dystopian fascism”)
  • dictatorship (discusses authoritarian threats)

Secondary applicable categories:

  • democracy (central theme)
  • how-to (provides strategic guidance)
  • talk-to-others (discusses confronting officials and building opposition)

The most essential categories are article, resist-dictatorship, and building-coalitions since this is fundamentally a strategic guide for organizing unified resistance against what the authors characterize as an authoritarian putsch. The rank-high tag seems appropriate given this appears to be a significant strategic document for pro-democracy organizing efforts.