Naive Bayes is a really interesting model. It's somewhat similar to KNN in the sense that it makes some assumptions that might oversimplify reality, but still it performs well in many cases.
Classifying documents with Naive Bayes
Getting ready
In this recipe, we'll use Naive Bayes to do document classification with sklearn. An example I have personal experience of is using a word that makes up an account descriptor in accounting, such as accounts payable, and determining if it belongs to the income statement, cash flow statement, or balance sheet.
The basic idea is to use the word frequency from a labeled test corpus to learn the classifications of the documents. Then, we can turn it on a training set and attempt...
