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案件記録

MULTIMODAL ENTITY EXTRACTION, ONTOLOGY MAPPING, AND IMPACT-BASED SENTIMENT ANALYSIS USING LARGE LANGUAGE MODELS

発明審査中
1閲覧数
20請求項 · 3 独立
§ Ⅰ

案件概要

発明者

Russell Evans; Tim Joyce; Srinivas Chilukuri; Rahul Sarkar; Eric Swank; Faisal Khaled; Utkarsh Verma; Shantam Shreshta; Sourish Bakshi

IPC分類

G6F 40/40G6F 16/34G6F 40/30

CPC分類

G6F40/40G6F16/34G6F40/30

A method comprising retrieving one or more requirements of knowledge to be extracted; generating a prompt corresponding to the one or more requirements; validating the prompt by executing a large language model using the prompt and evaluating the response predicted by the large language model; fine-tuning the large language model using validation data generated as a result of validating the prompt; and executing the fine-tuned large language model using a text corpus to analyze one or more item reviews and generate a pair of at least one entity and a respective relationship sentiment value for the entity.

原文(中国語)

A method comprising retrieving one or more requirements of knowledge to be extracted; generating a prompt corresponding to the one or more requirements; validating the prompt by executing a large language model using the prompt and evaluating the response predicted by the large language model; fine-tuning the large language model using validation data generated as a result of validating the prompt; and executing the fine-tuned large language model using a text corpus to analyze one or more item reviews and generate a pair of at least one entity and a respective relationship sentiment value for the entity.

外部リソース