MULTIMODAL ENTITY EXTRACTION, ONTOLOGY MAPPING, AND IMPACT-BASED SENTIMENT ANALYSIS USING LARGE LANGUAGE MODELS
개요
발명자
Russell Evans; Tim Joyce; Srinivas Chilukuri; Rahul Sarkar; Eric Swank; Faisal Khaled; Utkarsh Verma; Shantam Shreshta; Sourish Bakshi
IPC 분류
CPC 분류
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.
원문 (중국어)
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.