Detecting SMS Spam Using Natural Language Processing

Table of Contents

• Demo
• Introduction
• Dataset
• Technologies Used
• Accuracy

Demo

Link: https://spam-detector-01.herokuapp.com/

Introduction

This is a Spam Classifier web application built using Flask and deployed on Heroku platform.
The app takes a message/email as an input and predict the message/email as spam or not spam (ham).

Dataset

I have used the open-source Spambase dataset from the UCI machine learning repository.
It contains 5572 rows and 2 columns. Each row represents the message in the text is spam or ham(not spam).

Technologies Used

Accuracy

Accuracy Score: 98%