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Text Analytics Using SAS Text Miner

GK# 2695

Course Overview

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In this course, you will learn about the functionality of SAS Text Miner software, which is a separately licensed component that is available for SAS Enterprise Miner. You will also learn how to use SAS Text Miner to uncover underlying themes or concepts contained in large document collections. Additionally, you will learn how to automatically group documents into topical clusters, classify documents into predefined categories, and integrate text data with structured data to enrich predictive modeling endeavors.

Schedule

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Outline

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Classroom Live Outline

1. Introduction to SAS Enterprise Miner and SAS Text Miner

  • Data mining and text mining
  • Working with data sources
  • Using SAS Enterprise Miner and SAS Text Miner

2. Overview of Text Analytics

  • Using the Text Import node, adding a target variable, and comparing models
  • Forensic linguistics application
  • Information retrieval

3. Algorithmic and Methodological Considerations in Text Mining

  • Methods for parsing and quantifying text
  • Dimension reduction with SVD

4. Additional Ideas and Nodes

  • Some predictive modeling details
  • Text Rule Builder node
  • High Performance (HP) Text Miner node

Labs

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Classroom Live Labs

Exercises or hands-on workshops are included with most SAS courses.

Prerequisites

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Who Should Attend

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  • Statisticians, business analysts, and 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
  • Individuals who want to learn about text mining
Course Delivery

This course is available in the following formats:

Classroom Live

Receive face-to-face instruction at one of our training center locations.

Duration: 2 day

Virtual Classroom Live

Experience expert-led online training from the convenience of your home, office or anywhere with an internet connection.

Duration: 4 day

Request this course in a different delivery format.
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