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Submit your abstract to the call for content for Discovery Summit Americas by April 23. Selected abstracts will be presented at Discovery Summit, Oct. 21- 24.
Discovery is online this week, April 16 and 18. Join us for these exciting interactive sessions.

Practice JMP using these webinar videos and resources. We hold live Mastering JMP Zoom webinars with Q&A most Fridays at 2 pm US Eastern Time. See the list and register. Local-language live Zoom webinars occur in the UK, Western Europe and Asia. See your country jmp.com/mastering site.

Using JMP® Pro for Enhanced Marketing Analytics and Consumer Research

 

 

See how to:

  • Process, visualize, prepare to analysis and interpret results for free-form text
  • Launch Text Explorer
    • Identify Terms as the smallest pieces of text, similar to words in a sentence; Phrases as short collections of terms; and Documents as collections of words in a table cell
    • Use Stemming to combine words that have common roots
    • Use Regular Expressions to find patterns in words
    • Evaluate and visualize prevalence or Terms and Tokens (number of words)
  • Interactively examine and use Word Cloud to visualize text and interactively see full text (Documents) related to specific Terms 
  • Add new variables that summarize responses, for example, opinions collected in a survey 
  • Use JMP Pro Latent Class Analysis to group top Terms into clusters and Discriminant Analysis to show the relationship of Terms to a response 
  • Understand how JMP uses Latent Semantic Analysis and a partial Singular Value Decomposition (SVD) to reduce Terms into a manageable number of dimensions for analysis 
  • Examine the Document Term Matrix (DTM) 
    • See how DTM changes Terms to numeric values that can be used in analysis
    • Clean up DTM to remove empty cells
  • Cluster and weight similar Terms and Phrases
  • Group related Terms into latent groups (Topics) and examine the Terms most and least likely to be associated with each Topic
    • Use Topic information to build predictive models 
  • Understand and run Association Analysis (Affinity Analysis, Market Basket Analysis, Pattern Recognition)
    • Understand and specify Support, Confidence and Lift values to identify Association Rules (relationships of Terms)
    • Examine and interpret Confidence and Consequence for each identified association 

Note: Q&A included at times 29:36, 31:07 and 31:23.

Resources

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