SYSTEM AND METHOD FOR DYNAMICALLY EVALUATING LATENT CONCEPTS IN UNSTRUCTURED DOCUMENTS

Patent №

US 7,313,556

Granted

2007-12-25

Filed 2005

Owner

Lab

AI components

6

ml · nlp · vision · kr · planning · hardware

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

11304406

A system and method for dynamically evaluating latent concepts in unstructured documents is disclosed. A multiplicity of concepts are extracted from a set of unstructured documents into a lexicon. The lexicon uniquely identifies each concept and a frequency of occurrence. A frequency of occurrence representation is created for the documents set. The frequency representation provides an ordered corpus of the frequencies of occurrence of each concept. A subset of concepts is selected from the frequency of occurrence representation filtered against a pre-defined threshold. A group of weighted clusters of concepts selected from the concepts subset is generated. A matrix of best fit approximations is determined for each document weighted against each group of weighted clusters of concepts.

Machine learningNatural languageVisionKnowledge representationPlanningAI hardwareG06F 16/355G06F 3/0641G06F 16/23G06F 16/24575G06F 16/285G06F 16/313G06F 16/35G06F 16/93+5 more

AI classification

Natural language1.00
Knowledge representation1.00
Planning1.00
Vision0.99
Machine learning0.98
AI hardware0.73
Evolutionary computation0.00
Speech0.00
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