CNIPA.AI
Back to Search
Dossier

APPARATUSES, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR PROCESSING SERVICE MESSAGE DATA OBJECTS VIA LARGE LANGUAGE MODELING TO PROVIDE SERVICE MESSAGE CLASSIFICATIONS

InventionPending
20Claims · 3 independent
§ Ⅰ

Dossier Overview

Inventor

Rutvik Acharya; AbdulMajedRaja RS; Sarah Williams; Trevor Townsend; Danielle Kaminski

IPC Classification

G6F 40/279G6F 40/30

CPC Classification

G6F40/279G6F40/30

Methods, apparatuses, or computer program products that process service message data objects via large language modeling to provide service message classifications. In some examples, a first large language model is applied to a plurality of service message data objects associated with an application framework to generate a first feature set for the plurality of service message data objects, a plurality of topic data objects representative of respective hierarchical topic classifications for the plurality of service message data objects is generated based on the first feature set, a second feature set is extracted from the plurality of topic data objects, and a second large language model is applied to the second feature set to generate a plurality of theme data objects representative of respective hierarchical theme classifications for the plurality of topic data objects.

Original (Chinese)

Methods, apparatuses, or computer program products that process service message data objects via large language modeling to provide service message classifications. In some examples, a first large language model is applied to a plurality of service message data objects associated with an application framework to generate a first feature set for the plurality of service message data objects, a plurality of topic data objects representative of respective hierarchical topic classifications for the plurality of service message data objects is generated based on the first feature set, a second feature set is extracted from the plurality of topic data objects, and a second large language model is applied to the second feature set to generate a plurality of theme data objects representative of respective hierarchical theme classifications for the plurality of topic data objects.

External Resources