JMP 13.2 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Predictive and Specialized Modeling
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 12 Online Documentation
Basic Analysis
•
Text Explorer
• Topic Analysis
Previous
•
Next
Topic Analysis
The Topic Analysis option performs a varimax rotation on the singular value decomposition (SVD) of the document term matrix (DTM). You must specify a number of rotated singular vectors, which corresponds to the number of topics that you want to retain from the DTM. After you specify a number of topics, the Topic Terms and Topic Scores Plots reports appear. Topic analysis is equivalent to a rotated principal component analysis (rotated PCA).
The varimax rotation takes a set of singular vectors and rotates them to make them point more directly in the coordinate directions (toward the terms). This rotation makes the vectors help explain the text as each rotated vector orients toward a set of words. Negative values indicate a repulsion force. The terms with negative values occur in a topic less frequently compared to the terms with positive values.
Previous
•
Next
Help created on 9/19/2017