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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)