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
Lab
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
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.