An interactive semantic map of the latest 10 million published papers (P)

Key Highlights:

• Created an interactive map to navigate the scientific landscape using spatial exploration techniques.
• Sourced 10M papers from OpenAlex, generated embeddings via SPECTER 2, and reduced dimensionality using UMAP.
• Applied Voronoi partitioning on density peaks to form semantic neighborhoods with floating topic labels.
• Supports keyword/semantic queries and includes analytics for ranking institutions, authors, and topics.
• Free to use on The Global Research Space; feedback and suggestions are welcomed.

Rewrite the following article in a natural, human-like tone. Keep the meaning the same but improve clarity, structure, and readability. Do NOT mention any source, website, or external reference. Return clean HTML paragraphs:

I built a map to help navigate the complex scientific landscape through spatial exploration. How it works: Sourced the latest 10M papers from OpenAlex and generated embeddings using SPECTER 2 on titles and abstracts. Reduced dimensionality with UMAP, then applied Voronoi partitioning on density peaks to create distinct semantic neighborhoods. The floating topic labels are generated via custom labelling algorithms (definitely still a work in progress!). There is also support for both keyword and semantic queries, and there’s an analytics layer for ranking institutions, authors, and topics etc. For anyone who wants to try the interactive map, it is free to use at The Global Research Space Any feedback or suggestions is welcome! submitted by /u/icannotchangethename (link) (comments)