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相关概念视频

Structural Classification of Joints01:20

Structural Classification of Joints

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Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
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Structuralism01:26

Structuralism

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Structuralism, an early psychological theory developed by Wilhelm Wundt and his student Edward Bradford Titchener, sought to dissect the human mind into its most fundamental components. Wundt's groundbreaking work in his laboratory set the stage for Titchener to define structuralism's goal as cataloging the "atoms" of the mind—sensations, images, and feelings—akin to how chemists identify elements of matter.
Titchener's approach to structuralism was unique. He...
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Stereotype Content Model02:16

Stereotype Content Model

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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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What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
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Some researchers suggest that altruism operates on empathy. Empathy is the capacity to understand another person’s perspective, to feel what he or she feels. An empathetic person makes an emotional connection with others and feels compelled to help (Batson, 1991). Empathy can be expressed in several ways, including cognitive, affective, and motor. 
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Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
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Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
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一个动态图形结构框架,用于隐式情绪识别,基于互补的语义和结构信息.

Yuxia Zhao1,2,3, Mahpirat Mamat1,4, Alimjan Aysa1,4

  • 1School of Computer Science and Technology, Xinjiang University, Ürümqi, 830046, Xinjiang, China.

Scientific reports
|July 17, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了一种新的动态图框架 (SIF),通过整合语义和结构文本信息来改善隐性情绪识别. SIF动态学习图形结构,在多个数据集上表现优于现有的方法.

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科学领域:

  • 自然语言处理自然语言处理.
  • 人工智能的人工智能
  • 数据挖掘 数据挖掘

背景情况:

  • 隐含的情感识别是具有挑战性的,因为没有明确的情感词.
  • 目前用于NLP的图形神经网络 (GNN) 方法在图形结构构建和依赖手工专业知识方面存在局限性.
  • 现有的静态图形结构往往过于简单,容易出现错误,阻碍了语义理解.

研究的目的:

  • 提出一个动态图形结构框架 (SIF),解决隐式情绪识别的局限性.
  • 通过整合互补的语义和结构信息来增强特征表示.
  • 动态学习图形结构,减少对手工输入的依赖和纠正错误.

主要方法:

  • 开发了一个动态图形结构框架 (SIF),利用语义和结构信息的互补性.
  • 构建了独立的结构和语义信息图表,以丰富特征表示.
  • 实现了初始静态图形结构的动态学习,以减轻噪声和错误.

主要成果:

  • 在三个公共数据集上,SIF显著优于主流自然语言处理 (NLP) 方法.
  • 实现了高准确率:在Puns of day上达到95.73%,在SemEval-2021任务7上达到85.37%,在Reddit上达到65.36%.
  • 证明了集成动态图形结构用于隐式情绪分析的有效性.

结论:

  • 拟议的SIF框架为隐式情绪识别提供了一个强大的解决方案.
  • 动态图表学习有效地捕捉复杂的文本语义,并提高模型性能.
  • 在情绪分析中,SIF显示了对现实世界应用的巨大潜力.