Skip to content

Latest commit

 

History

History
8 lines (8 loc) · 432 Bytes

README.md

File metadata and controls

8 lines (8 loc) · 432 Bytes

SMS_Spam_Detection_MNB

Author - Parmarth Nilankar
The project SMS spam detection showcased a remarkable accuracy using Multinomial Naive Bayes,with a perfect 100% precision rate.
We meticulously processed a diverse SMS dataset through techniques like tokenization, stemming, and stopword removal.
Our approach leveraged keyword frequency analysis for effective spam and non-spam message classification.