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Preparing data for sentiment analysis

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Updated on April 5, 2022

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
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