METHOD AND SYSTEM FOR CONVERTING DOCUMENT SETS TO TERM-ASSOCIATION VECTOR SPACES ON DEMAND

Patent №

US 9,201,864

Granted

2015-12-01

Filed 2013

Owner

Lab

AI components

3

ml · nlp · vision

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

13840255

Disclosed herein is a method and system for producing a term association vector space on demand for a client given a document set in electronic form. The method extracts terms from the document set, stripping out words that do not convey meaning and adding important phrases within the context of the document set to the terms. Associations between terms are calculated, subjected to further analytical processes, and collected in a matrix, whose rows are vectors defining the vector space. Additional associational data can be added by matrix arithmetic, and documents can be rendered as further vectors in the space.

AI classification

Natural language1.00
Machine learning0.95
Vision0.54
AI hardware0.47
Planning0.37
Knowledge representation0.01
Speech0.00
Evolutionary computation0.00
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