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Updated: Jun 24, 2025

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

Published on: December 6, 2024

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通过多种语言的Twitter文本嵌入来分析政党的立场

Jinghui Chen1,2, Takayuki Mizuno1,2, Shohei Doi3

  • 1Graduate Institute for Advanced Studies (SOKENDAI), Hayama, Japan.

Frontiers in big data
|June 14, 2024
PubMed
概括

本研究引入了一种新的句子级嵌入方法,用于跨语言分析政治立场,其性能优于传统的单词级模型. 该方法有效地捕捉了政治话语中微妙的政治立场和跨文化相似之处.

关键词:
在 LDA LDA 中.实验室 实验室 实验室 实验室 实验室计算社会科学 计算社会科学多语言的NLP.文本分析 文本分析

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