Spam Analysis Web App 💬 📝 ✍️

This app is used to perform spam analysis of a text/sms

Tech Stacks Used

Libraries Used

Structure Of The Project

• The prediction page is connected with a Machine Learning Model that uses Multinomial Naive Bayes Algorithms to predict the results.
• We have only 1 relevant feature taken into consideration which is the text and then the text is preprocessed and vectorized with the help of TF-IDF Vectorizer to fit into the model and train it.

The text is preprocessed and then fed to the model.

Deployment Of The Project

After the modeling part, the model is deployed using the Streamlit library on Streamlit Share so that the app is available for usage for everyone.

Link To My Web Application -

https://sms-spam-classifer-lxeod8wph4d58vr9whaf2p.streamlit.app/