About this document
Naive Bayes for SMS Spam Classification by Saumya Singla is a document available to read on EtoBox.
The document discusses the Naive Bayes algorithm for classification, explaining its assumptions and application in filtering spam messages. It details the process of preparing SMS data for analysis, including text cleaning, tokenization, and creating a Document Term Matrix. The final steps involve training a Naive Bayes classifier using the processed data to classify messages as spam or ham.
- Author
- Saumya Singla
- Language
- EN