Week 9 notes completed

CM3060 Natural Language Processing/Week 9/Week 9 notes.md

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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)