SMS Spam Detection

Python code for building a SMS Text classification using Dense network, LSTM and Bi-LSTM architectures in TensorFlow2.

Dataset Link :- https://archive.ics.uci.edu/ml/datasets/SMS+Spam+Collection

Streamlit Link :- https://deepankarvarma-sms-spam-detection-using-nlp-app-atp0na.streamlit.app/

Different steps included in the project are :-
Load and explore the spam data
Prepare train test data
Train the spam detection model using the three approaches mentioned above
Compare and select a final model
Use the final trained classifier to classify the new messages

## The accuracy of the models are as follows:- ### 1) Dense Network ### 2) Bi-LSTM ### 3) LSTM