This course describes the functionality of SAS Text Miner, which is a separately licensed component that is available for SAS Enterprise Miner. In this course, you learn to use SAS Text Miner to uncover underlying themes or concepts contained in large document collections, automatically group documents into topical clusters, classify documents into predefined categories, and integrate text data with structured data to enrich predictive modeling endeavors.
The e-learning format of this course includes Virtual Lab time to practice.
Learn How To
Who Should Attend
Before attending this course, you should: ;Be acquainted with Microsoft Windows and Windows-based software.Have at least an introductory-level familiarity with basic statistics and regression modeling.;Previous SAS software experience, especially SAS Enterprise Miner experience, is helpful but not required.
SAS Products Covered
SAS Text Miner;SAS Text Analytics Common Components;SAS Enterprise Miner
Introduction to SAS Enterprise Miner and SAS Text Miner
Data mining and text mining.
Working with data sources.
Using SAS Text Miner.
Overview of Text Analytics
Using the Text Import node.
A forensic linguistics application.
Algorithmic and Methodological Considerations in Text Mining
Methods for parsing and quantifying text.
Dimension reduction with SVD.
Additional Ideas and Nodes
Some predictive modeling details.
Text Profile node.
High Performance (HP) Text Miner node.
The hands-on lab is preconfigured to support this course and will not support hands-on practice for all your enrolled courses.
Hands-On Lab Reservation System
When you are planning your study time, keep in mind that the virtual lab takes 45-60 minutes to start
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