SAS(R) Contextual Analysis: Building Models
This course describes the functionality of SAS Contextual Analysis, a single web application that brings together the techniques used in text mining, categorization, contextual extraction, and sentiment identification. SAS Contextual Analysis helps you derive key business insight from unstructured text. It uses a combination of machine learning, linguistic, and subject matter expertise to uncover trends and themes in your data--insights that otherwise would have stayed hidden but can now give you an in-depth understanding of your business.
Virtual Training nebo e-Learning?
Máme dostatečnou flexibilitu, takže vybírat můžete jak prezenční termíny, tak online kurzy.
Zkuste živý kurz virtuálněTarget group
Text analysts, business and marketing analysts, web analysts, BI professionals, customer intelligence professionals, and social media analysts
Course structure
Introduction to SAS Contextual Analysis
- Introduce SAS Text Analytics.
- Describe the tasks that can be performed using SAS Contextual Analysis.
Main Features of SAS Contextual Analysis
- Create projects.
- Extract terms using default concepts.
- Extract system-generated topics.
- Extract rules to identify that documents belong to categories.
SAS Contextual Analysis Demonstrations
- Create a project with no predefined concepts.
- Open a previously created project with custom concepts.
Advanced Features of SAS Contextual Analysis
- Explore a SAS Contextual Analysis project created from a SAS Sentiment Analysis Studio SAM file.
- Add custom concepts by importing concept definitions from an Enterprise Content Categorization TK2 file.
Concept and Category Rule Definitions in SAS Contextual Analysis
- Introduce SAS Contextual Analysis rules.
Prerequisites
Experience in SAS programming or statistical knowledge is not required to attend. 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.
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Jsme vám k dispozici na telefonním čísle +420 222 553 101 vždy od pondělí do pátku: 9:00 - 17:00.
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