{"data":{"full_name":"deepankarvarma/SMS-Spam-Detection-using-NLP","name":"SMS-Spam-Detection-using-NLP","description":"This repository contains the code for building a spam detection system for SMS messages using deep learning techniques in TensorFlow2. Three different architectures, namely Dense Network, LSTM, and Bi-LSTM, have been used to build the spam detection model. The final model has been deployed as a Streamlit app to showcase its working. ","stars":3.0,"forks":3.0,"language":"Jupyter Notebook","license":null,"archived":0.0,"subcategory":"sms-spam-detection","last_pushed_at":"2023-04-25T15:27:17+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":0.0,"adoption_score":3.0,"maturity_score":8.0,"community_score":14.0,"quality_score":25.0,"quality_tier":"experimental","risk_flags":"['no_license', 'stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-15T00:07:11.975649+00:00"}}