3d Word Vectors with Neural Networks, T-SNE, and WebGL
3d Word Vectors with Neural Networks, T-SNE, and WebGL launched on November 14, 2013 with 30 votes, #112 of 701 launches that month and more than 75% of that year's launches. The site was not reachable when checked in September 2026.
In plain words
3d Word Vectors with Neural Networks, T-SNE, and WebGL is an AI tool that visualizes word relationships in three-dimensional space using neural network embeddings and dimensionality reduction. It processes word vectors through T-SNE algorithms and renders the results interactively in WebGL, allowing users to explore semantic connections between words in a browser-based environment. The tool is designed for researchers, linguists, and developers interested in understanding how machine learning models represent language.
written from the facts on this page · September 2026
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Just a fun toy I wanted to make. I've been studying and playing around with language models lately and have always been intrigued by how words are processed by these models. Since the vectors generated by embedding models is in very high dimensional space, I thought it would be cool to reduce them to 3D vectors and visualise them myself. This is what I have so far!
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