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