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SAS 9.2 Documentation
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Getting Started with SAS(R) Text Miner 4.1
PDF
Contents
About
Introduction to Text Mining and SAS Text Miner 4.1
What Is Text Mining?
What Is SAS Text Miner 4.1?
The Text Mining Process
Accessibility Features of SAS Text Miner 4.1
Learning by Example: Using SAS Text Miner 4.1
About the Scenario in This Book
Prerequisites for This Scenario
How to Get Help for SAS Text Miner 4.1
Setting Up Your Project
About the Tasks That You Will Perform
Create a Project
Create a Library
Create a Data Source
Create a Diagram
Analyzing the SYMPTOM_TEXT Variable
About the Tasks That You Will Perform
Identify Input Data
Partition Input Data
Set Text Miner Node Properties
View Interactive Results
Examine Data Segments
Cleaning Up Text
About the Tasks That You Will Perform
Use a Synonym Data Set
Create a New Synonym Data Set
Examine Results Using Merged Synonym Data Sets
Create a Stop List
Explore Results Improvements
Predictive Modeling with Text Variables
About the Tasks That You Will Perform
Use the COSTRING Variable to Model
Use the SYMPTOM_TEXT Variable to Model
Compare the Models
Additional Exercises
Tips for Text Mining
Processing a Large Collection of Documents
Dealing with Long Documents
Processing Documents from an Unsupported Language or Encoding
Next Steps: A Quick Look at Additional Features
The %TMFILTER Macro
The %TMPUNC Macro
Vaccine Adverse Event Reporting System Data Preprocessing
Recommended Reading
Glossary
Index here
Product
Release
SAS Enterprise Miner
6.1
Type
Getting Started
Last Updated
15Sep2009
Getting Started with SAS Text Miner 4.1
