{"data":{"full_name":"SreevatsaK/Infosys_Python_Proj","name":"Infosys_Python_Proj","description":"Parallel News Text Processing Engine is a scalable Python-based system that processes large text datasets using parallel computing to improve performance. It performs rule-based sentiment and theme classification on news articles and stores the results in a structured SQLite database for efficient querying.","stars":0.0,"forks":0.0,"language":"Python","license":null,"archived":0.0,"subcategory":"financial-news-sentiment","last_pushed_at":"2026-03-05T16:40:13+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":"2026-04-07T00:24:00.637325+00:00"}}