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Machine Learning Procedures
 

TMSCORE Procedure

PROC TMSCORE Features

The TMSCORE procedure processes large-scale textual data with high efficiency and scalability. The following list summarizes the basic features of the procedure:

  • Functionality that is related to document parsing, term-by-document matrix creation, and dimension reduction is integrated into one procedure to process data more efficiently.

  • Parsing and term-by-document matrix creation are performed in parallel.

  • Computation of document projection is performed in parallel.

  • All phases of processing use a high degree of multithreading.

Last updated: August 06, 2026