# Text classification

## Learning objectives
![](Files/course_lo.png)
![](Files/topic_lo.png)
![](Files/spam.png)
![](Files/text_examples.png)
![](Files/text_methods.png)
![](Files/ml_examples.png)

## Bayes' theorem

![](Files/puzzle.png)
![](Files/puzzle2.png)
![](Files/theorem.png)
![](Files/table1.png)
![](Files/table2.png)
![](Files/table3.png)
![](Files/table4.png)
![](Files/theorem2.png)

## Bayesian classification

![](Files/class1.png)
![](Files/bayes1.png)
![](Files/bayes2.png)

Labels are our hypothesis
Features are the evidence
![](Files/bayes3.png)
![](Files/bayes4.png)

## Multinomial naive Bayes

![](Files/multi1.png)
![](Files/multi2.png)