{"data":{"full_name":"Pushtogithub23/NLP-Emotion-Classification-ML-DL-Gradio","name":"NLP-Emotion-Classification-ML-DL-Gradio","description":"This project implements emotion classification in text using classical ML (Random Forest, Naive Bayes, KNN) and deep learning (DistilBERT) on a Kaggle dataset. It features data preprocessing, feature engineering (TF-IDF, Bag-of-Words), model evaluation, and a Gradio app for real-time predictions, deployable to Hugging Face Spaces.","stars":0.0,"forks":0.0,"language":"Jupyter Notebook","license":"MIT","archived":0.0,"subcategory":"emotion-detection-transformers","last_pushed_at":"2025-07-03T21:15:20+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":2.0,"adoption_score":0.0,"maturity_score":9.0,"community_score":0.0,"quality_score":11.0,"quality_tier":"experimental","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-05T20:32:30.645460+00:00"}}