PROC TEXTMINE is run with the MINCOUNT=5 option in the PARSE statement. What effect does MINCOUNT=5 have on the resulting term-document matrix?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — a is correct because MINCOUNT= in PROC TEXTMINE's PARSE statement specifies the minimum number of documents a term must appear in to be included in the vocabulary. Terms appearing in fewer than 5 documents are treated as too rare to be informative and are excluded, reducing dimensionality.
Full explanation below image
Full Explanation
A is correct because MINCOUNT= in PROC TEXTMINE's PARSE statement specifies the minimum number of documents a term must appear in to be included in the vocabulary. Terms appearing in fewer than 5 documents are treated as too rare to be informative and are excluded, reducing dimensionality. B is wrong; MINCOUNT= filters terms, not documents. C is wrong; singular value count is controlled by the K= option in the SVD step. D is wrong; MINCOUNT= is a document-frequency threshold, not a per-document term count.