In PROC TEXTMINE, after running the PARSE step, the resulting term-document frequency matrix is stored in output tables. Which output table contains the frequency of each term in each document?
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Short Explanation and Infographic
Here's the deal — c is correct because the OUTTERMS= option in the PARSE statement of PROC TEXTMINE produces a dataset containing term-document associations — specifically the frequency or weight of each term within each document, forming the sparse term-document matrix. A (OUT=) from the PROC statement contains document-level scores and metadata.
Full explanation below image
Full Explanation
C is correct because the OUTTERMS= option in the PARSE statement of PROC TEXTMINE produces a dataset containing term-document associations — specifically the frequency or weight of each term within each document, forming the sparse term-document matrix. A (OUT=) from the PROC statement contains document-level scores and metadata. B (OUTUNIGRAMSTAT=) contains term-level statistics like document frequency and total count. D (OUTEIGEN=) contains SVD eigenvectors after dimensionality reduction.