Sentiment Analysis

SAS® Sentiment Analysis 

Automatically pinpoint sentiment from the Web and electronic documents

Want to know what your customers think? Opinions and experiences are expressed on websites and in communication centers – and they're buried in emails, forms, surveys, internal files and reports. SAS Sentiment Analysis gives you the THE POWER TO KNOW® your constituents' opinions so you can create better communications, identify issues and spot trends sooner than competitors. By uniting statistical learning with advanced linguistic methods, the software locates and analyzes digital content in real time to hone in on the sentiment that has been expressed.

Benefits

Evaluate sentiment and monitor changes over time.

The software automatically extracts sentiments in real time or over a period of time with a unique combination of statistical modeling and rule-based natural language processing techniques. Built-in reports show patterns and detailed reactions.

Identify feedback sources to define new targets..

By actively monitoring internal collections (such as call centers and the Web) combined with social networking sites (like Twitter and Facebook), the software shows where you're being discussed and what is being said. It automatically extracts feedback as content is crawled, filtering out the most important concepts so you can pursue promising opportunities.

Continuously improve customer experience and competitive position.

The software searches for and evaluates internal and external content about your organization and competitors, identifying positive, negative, neutral and "no sentiment" texts – quantifying perceptions in the market.

Promote ongoing discovery with a closed-loop, integrated analysis environment.

With ongoing evaluations, you can refine models and adjust classifications to reflect emerging topics and new terms relevant to your customers, organization or industry.

Screenshots

Features

Sentiment Analysis
  • Easy-to-use interface for model development
  • Statistics and linguistics combined to provide more accurate sentiment analysis results
  • Context of features examined for accurate interpretations
  • Dynamic sentiment analysis

  • Interactive workbench for model refinement
  • Updates on Web postings, reviews and opinions
  • Multiple languages natively supported 

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