A SAS analyst uses PROC TEXTMINE to analyze 50,000 product reviews. After parsing, the term-document matrix has 25,000 unique terms. The analyst wants to reduce dimensionality using SVD. Which PROC TEXTMINE option controls the number of SVD dimensions (latent topics) retained?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — a is correct because PROC TEXTMINE's SVD statement uses NDIM= to specify the number of singular value decomposition dimensions (latent semantic topics) to compute and retain. Common values range from 50-200 for large text corpora.
Full explanation below image
Full Explanation
A is correct because PROC TEXTMINE's SVD statement uses NDIM= to specify the number of singular value decomposition dimensions (latent semantic topics) to compute and retain. Common values range from 50-200 for large text corpora. B is wrong; NFACTOR= is not a PROC TEXTMINE PARSE option. C is wrong; MAXDIM= is not a PROC TEXTMINE option. D is wrong; CLUSTER statement K= controls clustering, not SVD dimensions.