Shypd.aiThe largest open index of AI toolsword2vec-graph is a Data Visualization tool that explores word2vec embeddings as a graph of nearest neighbors. It allows users to visualize semantic relationships between words from large datasets like GloVe and Common Crawl.
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word2vec-graph is a visualization tool designed to explore high-dimensional word2vec embeddings by representing them as a graph of nearest neighbors. It allows users to understand semantic relationships between words, with edges formed when the distance between corresponding word vectors is below a specified threshold. The tool utilizes datasets such as GloVe (6B tokens, 400K vocabulary, 300-dimensional vectors) and Common Crawl (840B tokens, 2.2M vocab, 300d vectors). It provides options for filtering words (e.g., removing non-word characters and digits) to create more meaningful visualizations, addressing issues like overwhelming numerical clusters found in raw data. Users can set up the tool locally, build graph files from their own vector data, and generate layouts for visualization.
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