Deriving Sentiments from Opinions or Product Choices

Presenter: Mike Anderson

Using JMP Pro to Derive Sentiments from Opinions or Product Choices

See how to:

  • Define basic text mining components: corpus (data table), document (row), Document Term Matrix (occurrences of terms of interest in corpus)
  • Curate data using distribution, recode, stemming and Word Cloud to prepare for modeling
  • Model the data using Fit Model, Generalized Regression, Elastic Net and BIC model validation
  • Examine statistics, Solution Path and active parameters to evaluate model

Resources

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