Mining Textual Data Using SAS Text Miner for SAS 9

Duration: 2.0 days
Course fee: $1,360
EPTO units: 2
CEUs: 1.2

This course covers the functionality of SAS Text Miner software, which is a separately licensed component available for SAS Enterprise Miner.

Learn how to

process and prepare textual data for analysis
convert unstructured character data into structured numeric data
explore phrases in a document collection and group documents using similarity measures
find documents most closely associated with a word or phrase, and words or phrases most closely associated with a document
use textual data to improve predictive models.

Who should attend

Statisticians, business analysts, market researchers who incorporate free-format textual information in their analyses; managers of large document collections who must organize and select documents using data mining

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Prerequisites

Before attending this course, you should have experience using SAS Enterprise Miner to do predictive modeling, or you should have completed the Applied Analytics Using SAS Enterprise Miner 5.3 course.

Course Contents

Introduction to text Mining

foundations
processing textual data
converting unstructured text to structured data
transformations
applications

Exploratory Analysis of Textual Data

simple statistical analysis
exploration using SAS Text Miner
clustering

Predictive Modeling Using Textual Data

model inputs derived from text mining
memory-based reasoning
predictive modeling with text mining inputs
conclusion

Software

This course addresses SAS Enterprise Miner, SAS Text Miner.

Course Materials

Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.

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Course fee and EPTO units will differ for on-site training.

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