PHENOMENOLOGICAL SEMANTIC DISTANCE FROM LATENT DIRICHLET ALLOCATIONS (LDA) CLASSIFICATION

Patent №

US 10,242,002

Granted

2019-03-26

Filed 2016

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

4

ml · nlp · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15225458

Embodiments provide a system and method for semantic distance calculation. The method can involve receiving a plurality of documents having a set of subjects extracted through the use of latent dirichlet allocation; for each document in the plurality of documents, generating a classification list comprising a ranking of the one or more subjects based on the relevance of each subject to the document; for each classification list, calculating the semantic distance between each subject present on the classification list; aggregating the plurality of classification lists; and creating a distance matrix containing the relative semantic distances between each member of the set of subjects.

AI classification

Natural language1.00
Knowledge representation0.99
Machine learning0.99
Planning0.70
AI hardware0.42
Vision0.12
Speech0.01
Evolutionary computation0.01

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 393180295

Assignors

ENGLISH, JENNIFER A., KOSSARIAN, MALOUS M., MCMANIS, CHARLES E., JR., SMITH, DOUGLAS A.

On an employer assignment, the assignors are typically the inventors.

From the same owner

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