{"data":{"full_name":"acd17sk/Word2vec-CBOW-Negative-Sampling","name":"Word2vec-CBOW-Negative-Sampling","description":"This project provides a pure NumPy implementation of the Word2vec Continuous Bag-of-Words (CBOW) architecture using Negative Sampling for efficient training. It includes a complete pipeline for text preprocessing, vocabulary building, and model evaluation through word similarity and analogy tasks.","stars":0.0,"forks":0.0,"language":"Jupyter Notebook","license":null,"archived":0.0,"subcategory":"word-embedding-implementations","last_pushed_at":"2026-03-11T23:31:16+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":10.0,"adoption_score":0.0,"maturity_score":1.0,"community_score":0.0,"quality_score":11.0,"quality_tier":"experimental","risk_flags":"['no_license', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-12T06:49:06.452856+00:00"}}