Welcome to the SMS Spam Classifier project! This repository contains a machine learning model that can classify SMS messages as either spam or non-spam (ham). By utilizing natural language processing techniques, this classifier can effectively identify and filter out unwanted spam messages from your inbox.
- Accurately classifies SMS messages as spam or non-spam.
- Utilizes machine learning and natural language processing techniques.
- Easy to use and integrate into your own projects.
- Provides reliable and efficient spam detection.
Check out the live demo of the SMS Spam Classifier: Demo
The SMS Spam Classifier was trained on SMS Spam Collection Dataset by UCI Machine Learning consisting of 5500+ messages. The dataset contains a collection of both spam and non-spam messages, allowing the model to learn the characteristics of each category.
Using the SMS Spam Classifier is easy with the deployed Heroku application. Simply visit the following link: Demo
- Enter an SMS message in the input field.
- Click the "Classify" button.
- The classifier will determine if the message is spam or non-spam (ham) and display the result.
Contributions to the SMS Spam Classifier project are welcome! If you find any issues or have suggestions for improvement, please open an issue or submit a pull request. Let's work together to make this project even better.