SMS Spam Classification using Machine Learning and NLP By: Dhiraj Jethani Anmol Shrivastava Abstract As the volume of Short Message Service (SMS) communication continues to rise, so does the ...

The dataset used in this project is taken from the UCI Machine Learning Repository, specifically the SMS Spam Collection dataset. The main objective of this project is to create an application that ...

Training data was using SMS spam collection from previous research. The result of using collaboration of Naive Bayes and FP-Growth performs the highest average accuracy of 98, 506% and 0,025% better ...