helboukkouri/embedding-visualization
This is a project for visualizing word embeddings based on the work of Andrei Kashcha (@anvaka).
This tool helps you explore relationships between words in a visually intuitive way. You provide large collections of text, and it generates an interactive 3D map where each dot is a word. Words that are often used in similar contexts appear closer together, allowing linguists, data scientists, or researchers to discover hidden semantic connections and patterns.
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Use this if you want to visually understand how different words relate to each other based on their usage in large text datasets.
Not ideal if you need to analyze relationships within very small datasets or require precise quantitative metrics of word similarity rather than an exploratory visual overview.
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Mar 29, 2019
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curl "https://pt-edge.onrender.com/api/v1/quality/nlp/helboukkouri/embedding-visualization"
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