A data scientist uses SAS PROC TEXTMINE to analyze customer support tickets and identify common themes. Which output from PROC TEXTMINE best represents the dominant themes across documents?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — c is correct because the LDA statement in PROC TEXTMINE produces topic-term and topic-document probability distributions. The OUTTOPICS= dataset contains the dominant terms for each topic and their probabilities, directly representing the discovered themes across the document corpus.
Full explanation below image
Full Explanation
C is correct because the LDA statement in PROC TEXTMINE produces topic-term and topic-document probability distributions. The OUTTOPICS= dataset contains the dominant terms for each topic and their probabilities, directly representing the discovered themes across the document corpus. A (OUTTERMS=) shows raw term frequencies, not themes. B (OUTPARSE=) shows the stemmed vocabulary list, not themes. D (OUTSVD=) shows document coordinates in latent semantic space, which requires interpretation, unlike the direct LDA topic outputs.