This course shows you how to build and test models to assess sentiment in electronic text using SAS Sentiment Analysis Studio.
Learn how to
- build simple and advanced statistical models
- write rules and construct rule-based models
- combine statistical and rule-based models in a hybrid model
- upload models to SAS Sentiment Analysis Server.
Who should attend
System designers, developers, analytical consultants, and linguists who want to understand techniques and approaches for identifying sentiment in textual documents
Formats available | Standard duration | | |
Classroom: |
2.0 days | | |
|
No SAS or programming experience is required. You should be able to log on and off a computer, use a keyboard and mouse, and have a preliminary understanding of the differences between structured (numeric) and unstructured (text) data fields.
This course addresses SAS Text Analytics Common Components, SAS Sentiment Analysis software.