Check out my project: Summarizing philosophy books into layman's terms.

Check my latest GitHub posting: Philosophy\_summarizer:

[https://github.com/danielmachinelearning/Philosophy\_summarizer](https://github.com/danielmachinelearning/Philosophy_summarizer)

Also, check out my Medium post on my newest Github project: Philosophy Summarizer and its use with Slavoj Zizek's book "Disparities".

[https://medium.com/@danielmachinelearning/using-t5-transformers-top2vec-and-gpt3-to-create-easily-digestible-summaries-of-philosophy-books-49679a20f80a](https://medium.com/@danielmachinelearning/using-t5-transformers-top2vec-and-gpt3-to-create-easily-digestible-summaries-of-philosophy-books-49679a20f80a)


My program takes a philosophy ebook, creates summaries using the long-t5-tglobal-base-16384-book-summary that gets coherent summaries from the paragraphs of the book. Next, I used Top2Vec to get the overall topics and keywords per topic in the book. The sentences are then grouped per topic. Next, I use cosine distance to arrange …

book books check github keywords languagetechnology least medium next philosophy philosophy books project summary terms topics