A METHOD USING ARTIFICIAL NEURAL NETWORKS TO FIND A UNIQUE HARMONIZED SYSTEM CODE FROM GIVEN TEXTS AND SYSTEM FOR IMPLEMENTING THE SAME

摘要

The invention disclosed hereby generally concerns a method for allocating specific/unique numbers for any suggested item according to, but not limited to, the Harmonized System (HS) which is the internationally valid generalized commodity nomenclature standards, and a system implementing said method for designating said specific/unique numbers to a suggested item or merchandise that is, a machine-learning oriented approach capable of handling given texts in a conceptual manner to produce accurate and precise prediction(s).