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Exploring text analytics with the NLP Sample application in Pega 7.2.1

Updated on September 6, 2017

You can use the NLP (Natural Language Processing) Sample application to analyze the text of email and posts on social media streams such as Facebook, Twitter, and YouTube. By analyzing users' input, you can gain insight that helps you to structure the data in your application to deliver better services to customers and increase your customer base.

The NLP Sample application is available as an archive file that you can download and install. It includes a portal, text samples, and taxonomies that you can explore or extend with your own models and text.

The NLP Sample portal

NLP Sample portal

Install the NLP Sample application and explore its functionality by using the example free text model to analyze various types of text samples:

  1. Installing the NLP Sample application.
  2. Analyzing text samples in the NLP Sample application.
    For information about the configuration of the example free text model rule, see An example free text model for analyzing text in Pega 7.2.1 .

After you become familiar with the basic functionality of the NLP Sample application, you can continue to advanced text analytics of social media content:

  1. Creating rules that support text analytics of social media data.
  2. Viewing and analyzing text analytics data from social media.

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