SAS Contextual Analysis software showing categories page on laptop

SAS® Contextual Analysis 

Easily add structure to your unstructured data.

What key business insights could be hidden in your text documents – case notes, service records, transcripts, contracts? Content analysis software from SAS transforms unstructured data into organized information to give you a competitive edge. You can identify emerging issues. Spot trends. And better understand your business and customers.


Analyze large amounts of text – quickly and easily.

It takes too much time and effort to manually organize and review documents. SAS Contextual Analysis gets it done quickly – from a single, integrated environment. You’ll achieve order out of chaos, save resources and, ultimately, reduce costs.

Identify new insights, make big moves.

How do potential customers perceive your business? What unforeseen problems might stall progress? Which emerging trends are rife with potential? These questions can’t be answered with a quick skim of corporate documents. SAS Contextual Analysis helps you dig deep, uncover truths and take action.

Customize an approach that meets your needs.

Combining machine learning with subject-matter expertise gives you exceptional control over your text analysis. The technology identifies common themes, category rules and document sentiment – and then you can add domain expertise to refine the results and make it context-specific for your business.

Prepare your data for more advanced tasks.

Content analysis software from SAS not only reveals insights, it also sets the stage for new opportunities. You can use categorized and tagged data for data mining and machine learning, forecasting or interactive visual analysis. You’ll know more, so you can accomplish more.

Demo & Screenshots


SAS Contextual Analysis shown on desktop monitor
  • Single system for guided text model development and deployment. Simplify your tasks and gain more control by working from a single environment.
  • Hybrid approach to document categorization. Combine machine learning technology with subject-matter expertise for a fully customized system.
  • Natural language processing. Eliminate the need for tedious manual definitions so you can work consistently and save time.
  • Automatic discovery of topics for initial taxonomy development. Pinpoint central themes across multiple documents quickly and easily.
  • Generation of configurable rules and improved linguistic context. Allow the technology to create categorization rules, then enhance them with defined concepts.
  • Direct integration with SAS. Prepare your data for other technologies from SAS, including SAS® Visual Analytics.


Recommended Resources

Read the SAS Contextual Analysis fact sheet.

Discover how text analytics can shed light on social media.

Learn about what text analytics can do for your business.

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