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# 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)