ALaks96/SMS_spam_detection

This project was the final evaluation of my Python class at Polytechnique. My goal was to create a classifier to detect spams in sms using two methodologies. First methodology was to use feature engineering and XGBoost. Second methodology was a classic approach to use NLP methods associated to a Naïve bayes classifier.

SMS spam detection

This project was the final evaluation of my Python class at Polytechnique that I developed with a colleague and friend.

Our goal was to create a classifier to detect spams in sms using two methodologies.

First methodology : Use feature engineering (regex to detect smileys, uppercase words, etc.) which we passed to an XGBoost classifier.

Second methodology : Classic approach to use NLP methods (TF-IDF, Bag of words, pre-processing) associated to a Naïve bayes classifier.