Embedding Similarity with Confidence Intervals

Show HN: Embedding Similarity with Confidence Intervals

Operating in show hn launch, Embedding Similarity with Confidence Intervals operates.

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When Smith writes "value" and Ricardo writes "value," do they mean the same thing? I built a tool that gives a quantitative answer.The tool trains multiple Word2Vec models on each text independently, aligns them into a shared vector space via Generalized Procrustes Analysis, and lets you compute cosine similarity with 95% confidence intervals across the ensemble through an API. First, it lets you compare semantic drift between authors. How does the semantic neighbourhood of "rent" in Smith compare to "rent" in Ricardo? Where do they converge, and where do they diverge? Second, it measures precision. With shorter texts, embeddings get noisy. Confidence intervals help you distinguish genuine s

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Website: www.embedding-analytics.com