The JSM Automatic Hypothesis Generation Method for Text Topic Classification

摘要

The use is described of plausible arguments of JSM type for classifying texts by topics on the basis of the occurrence of noun groups. Anshakov's algorithm is used for searching the minimal intersections, and the system automatically constructs the search pattern for grouped texts. Results are described from a system for classifying texts from the VINITI input document flow.