相关实验视频

Updated: Jul 4, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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一个新的词嵌入模型与医学知识相结合,用于基于深度学习的情感分类

Aye Hninn Khine1, Wiphada Wettayaprasit1, Jarunee Duangsuwan1

  • 1Artificial Intelligence Research Lab, Division of Computational Science, Faculty of Science, Prince of Songkla University, Hat Yai, Thailand.

Artificial intelligence in medicine
|February 7, 2024
PubMed
概括

这项研究介绍了WE-iMKVec,这是一个新的词嵌入模型,它集成医学知识,以从社交媒体数据中改进医疗保健情绪分析. 该模型显著优于传统方法,提高了医疗管理中的决策能力.

关键词:
在ADR中,ADR是ADR.深度学习是一种深度学习.医学情绪分析 医学情绪分析情感词典 情感词典这就是UMLS的UMLS.字体嵌入 字体嵌入.

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