I'm working on graph insight, a semantic graph tool for exploring research papers.
It extracts keyphrases, builds a 3D graph, and lets you navigate from documents > topics > clusters.
So far: ~28k papers processed, 100k+ topics mapped.
Use case: faster literature review, spotting hidden links, and seeing research areas as a connected landscape instead of isolated PDFs. I think this tool applicable for news/media streams too.
So far: ~28k papers processed, 100k+ topics mapped. Use case: faster literature review, spotting hidden links, and seeing research areas as a connected landscape instead of isolated PDFs. I think this tool applicable for news/media streams too.
Example (Text-to-Speech papers): https://www.reddit.com/r/deeplearning/comments/1nic3ft/3d_se...
I’m curious - would this be useful as a standalone tool for researchers/engineers/other domain areas?