Skip to main content


         This documentation site is for previous versions. Visit our new documentation site for current releases.      
 

Preparing data for sentiment analysis

Updated on May 17, 2024

In the Lexicon selection step, select the sentiment lexicon to use for sentiment analysis. Sentiment lexicons contain features that are used to enhance the accuracy of the model.

  1. In the Lexicon drop-down list, select a sentiment lexicon that you want to use in the model building process.
    A sentiment lexicon provides the list of features that are used in sentiment analysis and intent detection. You can use the default lexicon based on the pySentimentLexicon rule provided by Pega. For more information, see Sentiment lexicons.
  2. Click Next.
  • Previous topic Setting up a sentiment analysis model
  • Next topic Uploading data for training and testing of the sentiment analysis model

Have a question? Get answers now.

Visit the Support Center to ask questions, engage in discussions, share ideas, and help others.

Did you find this content helpful?

Want to help us improve this content?

We'd prefer it if you saw us at our best.

Pega.com is not optimized for Internet Explorer. For the optimal experience, please use:

Close Deprecation Notice
Contact us