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.
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