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Text Analytics Using SAS(R) Text Miner

Course code: DMTX5

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.

1 200 EUR

1 452 EUR including VAT

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Starting date: Upon request

Type: Upon request

Course duration: 14 hours

Language: en

Price without VAT: 1 200 EUR

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date		 Place
Type Course
duration		 Language Price without VAT
Upon request Upon request 14 hours en 1 200 EUR Register
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Target group

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; and students of data mining who want to learn about text mining

Course structure

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.
  • Information retrieval.
  • Text categorization.

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.

Prerequisites

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.

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