SAS Content Categorization Studio: Building Models

This course gives a practical introduction to methods of document classification and content identification using SAS Content Categorization Studio.

Duration 2 Days
Certificate SAS Global
Language English

Fees 24000 + taxes


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Course Description

Learn Persons responsible for the development and/or testing of category rules and concept definitions; also beneficial for those who want to understand techniques for working with unstructured data

About Program

This course gives a practical introduction to methods of document classification and content identification using SAS Content Categorization Studio.

Format of Training

Taught by certified instructors at high-tech facilities across the country

  • A SAS expert at your side.
  • Focused learning away from the office
  • Networking opportunities
  • State-of-the-art facilities
  • Electronic course notes downloadable to your device and permission to print
  • Business Knowledge Series: in-depth courses on the latest business topics
  • We offer Connected Classes! Watch for courses in Cary, New York, Arlington, Dallas and San Francisco that connect remote students via our Live Web classroom.

Prerequisite

No SAS or programming experience is required. You should be able to log on and off a computer, use a keyboard and mouse, and have a preliminary understanding of the differences between structured (numeric) and unstructured (text) data fields.

This course addresses SAS Enterprise Content Categorization, SAS Text Analytics Common Components software.

Training Features

  • describe the architecture and workflow for SAS Content Categorization
  • define content categorization, concept extraction, and contextual extraction
  • use automatic methods to categorize documents based on their topic
  • write rules to categorize documents according to topic
  • create rules to extract key pieces of information from documents.

Course Curriculum

  • architecture and workflow
  • content categorization and concept extraction
  • the SAS Content Categorization Studio Interface
  • introduction to content categorization
  • automatic rule generation
  • testing a categorizer
  • determining category membership
  • writing rules
  • building a statistical categorizer (self-study)
  • introduction to contextual extraction
  • determining concept matches
  • CLASSIFIER and REGEX definitions
  • CONCEPT and C_CONCEPT definitions
  • CONCEPT_RULE, NO_BREAK, and REMOVE_ITEM definitions
  • SEQUENCE and PREDICATE_RULE definitions
  • introduction to concept extraction
  • determining concept matches
  • writing classifier definitions
  • writing grammar definitions

Course Fees

Classroom

  

  

24000

+ Applicable Taxes
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