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Text Classification with Naive Bayes by Abhishek Arora is a document available to read on EtoBox.
What is Text Classification with Naive Bayes about?
The document is a lecture on text classification and the Naive Bayes classifier. It begins with an overview and outline. It then discusses text classification tasks like email spam filtering. It introduces the Naive Bayes classifier and how it works, including deriving the classification rule, taking the log, and estimating parameters using maximum likelihood and add-one smoothing. It also provides examples of training and testing a Naive Bayes classifier on sample text data.
- Author
- Abhishek Arora
- Language
- EN