7/23/2019 SAS Sentiment Analysis Studio
1/2
SAS Sentiment Analysis Studio: Building Models
Duration: 2.0 days
This course shows you how to build and test models to assess
sentiment in electronic text using SASSentiment 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 attendSystem designers, developers, analytical
consultants, and linguists who want to understand techniques
and approaches for identifying sentiment in textual
documents
Prerequisites
No SAS or programming experience is required. You should be able
to log on and off a computer, use akeyboard and mouse, and have a
preliminary understanding of the differences between
structured(numeric) and unstructured (text) data fields.
Course Contents
Introduction to SAS Sentiment Analysis
introduction
workflow and architecture
Defining the Corpus and Statistical Modeling
defining a corpus
building a statistical model
testing a statistical model
Rule-Based and Hybrid Models
introduction to rule-based models
importing learned features and writing CLASSIFIER rules
building and testing a rule-based model
writing CONCEPT and REGEX rules
writing C_CONCEPT, CONCEPT_RULE, and PREDICATE_RULE rules
building a hybrid model
Working with Sentiment Analysis Server
uploading models
configuring Sentiment Analysis Server (self-study)
Sentiment Project Case Study
case study
taxonomy structure
