Using Text Explorer to Extend Analysis

Presenter: Nick Shelton

Using Text Information to Heighten Understanding: Toronto Casino Case Study 

See how to:      

  • Prepare data
    • Run Text Explorer and interpret basic word count report   
    • Use Stemming to group words (terms) with similar roots
    • Use Recode to consolidate synonymous terms
    • Replace related terms with a single phrase 
    • Customize Stop Lists to remove irrelevant terms from analysis temporarily or permanently 
  • Explore and analyze text  
    • Use Local Data Filter to examine responses for selected variables
    • Use Word Cloud to visually filter term occurrences
    • Review key terms in context
    • Create new variables associated with terms
  • Identify themes (JMP Pro)
    • Create groups (clusters) to see how often terms are used
    • Identify significant terms related to each cluster
    • Iteratively determine how many clusters are relevant to your problem
    • Save probability formulas to use as rules for other related data sets
  • Predict outcomes
    • Use Document Term Matrix to convert significant text to numeric values to use in models
  • When geographic data are relevant and available, map text variables to related geographies

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