This is done using Latent Dirichlet Allocation (LDA). The original algorithm was published by David Blei et al over ten years ago, link to the paper: http://machinelearning.wustl.edu/mlpapers/paper_files/BleiNJ...

There are many machine learning libraries that have good implementations of LDA (e.g. Gensim), so it should be "relatively" straightforward to create the topics and clustering based on the abstracts of the papers.

I think there might be confusion about wht nl was referring to. Yes, the link is to a list (produced by Karpathy) of papers on which LDA has been performed.

But one of the listed papers is also by Kapathy ("Deep Fragment Embeddings for Bidirectional Image Sentence Mapping"), and I think this might be what nl is complimenting as being done quickly.

Yes this is the case. Thanks