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Making sense of text analytics


Text Analytics and Sentiment Mining Using SAS course teaches you how to organize, manage and mine textual data to extract the best information to improve your business. Atlanta in August and Rockville in October.



With all of us blogging, emailing and posting updates on social media, the amount of textual data is growing fast. So how do you make sense of all that big data?

Goutam Chakraborty Dr. Goutam Chakraborty teaches a SAS Business Knowledge Series course, Text Analytics and Sentiment Mining Using SAS, where you can learn how to organize, manage and mine textual data to extract the best information to improve your business.

  • Gain a deep understanding of tools and techniques of text analytics and sentiment mining from statistical and NLP (natural language processing) perspectives.
  • Import text data into SAS Text Miner from different sources and different formats.
  • Create clusters from text data to understand customer segments.
  • Derive topics from text data to better understand customer conversation.
  • Create rules from text data to make predictions.
  • Combine text data with numeric data to build better models.
  • Create statistical, rule-based, and hybrid models for understanding and predicting customer sentiments.

 
View complete course outline.
 
 
Dates and Locations:
  • August 21-22: Atlanta, GA
  • October 2-3: Rockville, MD

 
Course fee: $1,650


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