GitHub / hyper35 / Text-Similarity-Using-SBERT
A GUI-based tool to calculate cosine similarity between two texts. It uses SBERT models from the sentence-transformers library for text encoding and tkinter for the interface.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hyper35%2FText-Similarity-Using-SBERT
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 3.91 KB
Dependencies parsed at: Pending
Created at: 8 months ago
Updated at: 8 months ago
Pushed at: 8 months ago
Last synced at: 8 months ago
Topics: bert, cosine-similarity, natural-language-processing, sbert, text-embedding, text-similarity
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