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+# Sentiment analysis
+
+![](Files/sent1.png)
+
+Sentiment is multifaceted.
+There are multiple levels of affective states
+
+![](Files/sent2.png)
+
+## Basic sentiment classification
+![](Files/sent3.png)
+
+Worked example
+![](Files/sent4.png)
+
+Two optimizations can be made
+![](Files/sent5.png)
+
+Occurrence is more important than frequency
+
+![](Files/sent6.png)
+We need to work out the negations
+
+## Sentiment lexicons
+When training data is not available or is limited for the goal of building models, we can use sentiment lexicons, which are manually edited word lists.
+
+![](Files/sent7.png)
+
+## Summary
+
+![](Files/sent8.png)
+![](Files/sent9.png)
+![](Files/sent10.png)
+![](Files/sent11.png)
+![](Files/sent12.png)