Mining Textual Data Using SAS Text Miner for SAS 9

Duration: 2.0 days

Audience

This Level III course is designed for statisticians, business analysts, market researchers, and others who employ data mining techniques and have a need to incorporate free-format textual information in their analyses. The course may also be useful for managers of large document collections who have a need to group documents based on data mining techniques. Lastly, the course provides a cohesive introduction to the field of text mining for those who are interested in mastering different facets of data mining.

Course Description

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

Prerequisites

Before attending this course, you should have experience using SAS Enterprise Miner to do predictive modeling, or you should have completed the Predictive Modeling Using SAS Enterprise Miner 5.1 course.

Course Contents

Preliminaries

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

Exploratory Analysis of Document Collections

simple statistical analysis
exploration using Text Miner
clustering

Predictive Modeling

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

Software Addressed

This course addresses the following software product(s): SAS Enterprise Miner, SAS Text Miner.

Course Materials

You receive Mining Textual Data Using SAS Text Miner for SAS 9 Course Notes.

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