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相关概念视频

Translation01:31

Translation

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Lesson: Translation
Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of...
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Language and Cognition01:27

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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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The surface of the tongue is covered with various small bumps called papillae, which either distribute what has been ingested (filiform papillae) or contain the sensory taste (or gustatory) receptor cells (fungiform, circumvallate, and foliate papillae). Embedded within each taste-related papilla are the taste buds—clusters of 30 to 100 gustatory receptor cells.
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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
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相关实验视频

Updated: Sep 12, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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在餐厅评论中的多语言情绪分析,使用面向集中学习.

Arifur Rahman1, Md Azam Khan1, Kanchon Kumar Bishnu2

  • 1School of Business, International American University, Los Angeles, CA, USA.

Scientific reports
|August 4, 2025
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概括

这项研究介绍了XLM-RSA,这是一种在餐厅评论中进行跨文化情绪分析的新型模型. 它通过在多语言反中适应语言和文化细微差别来实现最先进的结果.

关键词:
侧面专注的注意力.跨文化情绪分析深度学习是一种深度学习.自然语言处理自然语言处理.餐厅评价 餐厅评价 餐厅评价情感分类的分类方式在XLM-ROBERTA中使用.

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科学领域:

  • 自然语言处理自然语言处理.
  • 计算语言学 计算语言学
  • 人工智能的人工智能

背景情况:

  • 跨文化情绪分析面临由于语言和文化差异的挑战.
  • 在多语言餐厅评论中准确地检测情绪对全球企业至关重要.
  • 现有的模型往往在反中扎着各种文化表达的细微差别.

研究的目的:

  • 为多语言餐厅评价开发一种文化适应的情绪分析模型.
  • 为了提高情绪检测在各种文化背景的准确性.
  • 提高对全球化市场中客户反的理解.

主要方法:

  • 提出了XLM-RSA,这是一个基于XLM-RoBERTa的新型多语言模型,具有侧面集中注意力.
  • 在三个基准数据集上对XLM-RSA进行了评估:10,000餐厅评论,餐厅评论和欧洲餐厅评论.
  • 引入了基于方面的注意力机制,以捕捉食物,服务和环境等关键方面的情绪变化.

主要成果:

  • 在所有评估的数据集中,XLM-RSA实现了最先进的性能.
  • 在餐厅评论数据集上获得了91.9%的准确性,超过了BERT (87.8%) 和RoBERTa (88.5%).
  • 在检测文化情绪转变 (85.4%的准确性在欧洲餐厅评论) 和方面级改进 (91.5%的F1分数与侧面关注) 中表现出强的表现.

结论:

  • XLM-RSA为多语言餐厅评论提供了有效的跨文化情绪分析功能.
  • 侧面集中注意力机制显著提高了情绪分析的准确性.
  • 该模型为从全球客户反中获得更准确,情感驱动的见解铺平了道路.