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Global Research Space visualizes 11 million papers with semantic search

By PulseAugur Editorial · [1 sources] ·

A new tool called The Global Research Space has been developed to help researchers navigate the rapidly growing volume of scientific literature. This platform visualizes the trends within approximately 11 million papers sourced from OpenAlex and Arxiv. It uses the SPECTER 2 model to encode titles and abstracts, projecting them into a 2D map with UMAP for visualization, and allows for both keyword and semantic queries. The tool also includes an analytics layer for ranking institutions, authors, and topics, with added functionality to track changes over time. AI

IMPACT Provides a new visualization and search tool for researchers to manage the growing volume of scientific literature.

RANK_REASON The item describes a new platform/tool for navigating research papers.

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Global Research Space visualizes 11 million papers with semantic search

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The item describes a new platform/tool for navigating research papers.
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60 days old
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COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/icannotchangethename ·

    A map of the latest 11 million papers split by semantic similarity and time slices [P]

    <table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1ujn3u5/a_map_of_the_latest_11_million_papers_split_by/"> <img alt="A map of the latest 11 million papers split by semantic similarity and time slices [P]" src="https://preview.redd.it/9e8fpnunpeah1.gif?f…

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