Optimality of Naive Bayes
Introduction
In the last part of this section, we look at a research paper that reviews some naive Bayes models, and talks about the applications of the classifier.
Objectives
You will be able to:
- Inform analytical decisions using published literature
- Get a better insight on what the advantages and disadvantages are of using naive Bayes classifiers
Naive Bayes and Information Retrieval
Being on the intersection of machine learning and information retrieval, several issues arise when applying the naive Bayes classifier. David D. Lewis gives an overview of these in the paper "Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval".
We would like you to read through the article, without getting lost in the details and the math. Try to focus on the application areas and the advantages/disadvantages of certain models. Good luck!
Summary
That's it for this section, congrats!