Text Analytics Using SAS Text Miner (DMTX31)
- All levels
- 18 and older
- $1,600
- Earn 16,000 reward points
- Price Lock Guarantee
- 787 7th Ave, New York, NY
- over 2 sessions
May 2nd
6–9pm EDT
Meets 4 Times
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Class Description
Description
What you'll learn in this sas class:
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.
What You'll Learn
There are no follow-ons for this course.
What You'll Learn
- Process textual data and show how it can be used in predictive modeling and exploratory analysis
- Convert unstructured character data into structured numeric data
- Explore words and phrases in a document collection
- Cluster documents into homogeneous subgroups
- Find documents most closely associated with a word or phrase
- Find words or phrases most closely associated with a document
- Identify topics in a document collection
- Classify documents based on derived or user-supplied topic definitions
- Extract a subset of documents with term-based and string-based query filters and use textual data to improve predictive models
- 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
- Experience using SAS Enterprise Miner to do pattern discovery and predictive modeling (or you may complete the Applied Analytics Using SAS Enterprise Miner course in lieu of experience).
- Familiarity with Microsoft Windows and Windows-based software
- Familiarity with basic statistics and regression modeling
- Previous SAS software experience (especially SAS Enterprise Miner) is helpful but not required
- Applied Analytics Using SAS Enterprise Guide (AAEM32)
There are no follow-ons for this course.
Refund Policy
You must cancel or reschedule your registration 17 or more business days before the start date of your scheduled class.
Failure to provide the required notification will result in full charge of the course. If a student does not attend a scheduled course without the required prior notification, the full charge of the course will be charged and rescheduling will not be allowed. Within the required notification period, only student substitutions will be permitted.
Rescheduling is permitted at any time with 17 or more business days' notice. Enrollments must be rescheduled within six months of the cancel date or funds on account will be forfeited.
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Global Knowledge
Global Knowledge is the world's leading learning services and professional development solutions provider. We deliver learning solutions to support customers as they adapt to key business transformations and technological advancements that drive the way that organizations around the world differentiate...
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Global Knowledge
Midtown, Manhattan
787 7th Ave Flr 47
Btwn W 51st & W 52nd Streets
New York, New York 10019 Midtown, Manhattan
787 7th Ave Flr 47
Btwn W 51st & W 52nd Streets
New York, New York 10019
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