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相关概念视频

Labeling Emotion01:20

Labeling Emotion

597
Emotional labeling is a cognitive process that involves identifying and naming one's emotions, such as anger, fear, happiness, or sadness. It allows individuals to recognize and express their internal emotional states, a critical aspect of emotional regulation and communication. Labeling emotions requires more than mere recognition; it also involves drawing upon memory and contextual cues to understand the current situation and apply a corresponding emotional label. For instance, feeling...
597
Cognitive Theories: Schachter-Singer Theory of Emotion01:20

Cognitive Theories: Schachter-Singer Theory of Emotion

1.5K
Stanley Schachter and Jerome Singer proposed the two-factor theory of emotion, which emphasizes the interplay between physiological arousal and cognitive labeling in forming emotional experiences. This theory suggests that emotions are not simply a result of physiological responses but rather a combination of these responses and the individual's cognitive interpretation of them.
Physiological Arousal and Cognitive Labeling
According to this theory, when an individual experiences...
1.5K
Physiology of Emotion01:20

Physiology of Emotion

3.1K
The physiology of emotions is a multifaceted process involving the autonomic nervous system, brain structures, hormones, and neurotransmitters. This intricate interplay dictates how emotions manifest in the body and influence behavior.
Autonomic Nervous System
The autonomic nervous system (ANS) plays a critical role in emotional responses by regulating involuntary physiological functions. It consists of two main components: the sympathetic and parasympathetic systems. The sympathetic system...
3.1K
Empathy02:34

Empathy

10.0K
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. 
10.0K
Introduction to Motivation and Emotion01:29

Introduction to Motivation and Emotion

1.1K
Motivation is a multifaceted process that drives behavior toward fulfilling various physiological or psychological needs. This process involves initiating, guiding, and maintaining specific actions influenced by internal and external factors. For example, when someone feels hungry while watching television, hunger is a motivator, prompting the individual to get up, walk to the kitchen, and find something to eat. In this instance, hunger initiates and sustains the behavior necessary to meet the...
1.1K
Cognitive Theories: Lazarus Mediational Theory of Emotion01:17

Cognitive Theories: Lazarus Mediational Theory of Emotion

2.0K
Richard Lazarus' cognitive mediational theory highlights the pivotal role of cognitive appraisal in shaping emotional responses. According to this theory, the evaluation of a stimulus — based on personal values, goals, beliefs, and expectations — mediates the emotional response. This appraisal process is immediate and often occurs unconsciously, influencing the intensity and nature of the resulting emotion.
Cognitive Appraisal and Emotional Response
Lazarus proposed that...
2.0K

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相关实验视频

Updated: Jan 14, 2026

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
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Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury

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将常识知识与GPT嵌入式集成为情绪分类.

Uma Yadav1, Priya Dasarwar2, Deepak Asudani2

  • 1School of Computer Science and Engineering, Ramdeobaba University, Nagpur, India.

MethodsX
|October 27, 2025
PubMed
概括

这项研究引入了一种新的融合方法来识别文本中的情感,将上下文理解与常识知识相结合. 这种方法显著提高了分类微妙情绪的准确性,超过了现有的模型.

科学领域:

  • 自然语言处理自然语言处理.
  • 情感计算是一种情感计算.
  • 人工智能的人工智能

背景情况:

  • 传统的情感识别模型因缺乏上下文理解或外部知识而难以处理微妙和隐含的情感线索.
  • 准确的情绪检测对于各种应用至关重要,包括人机交互和心理健康监测.

研究的目的:

  • 开发一种新的基于融合的范式,用于在文本中增强情感分类.
  • 将语境语义与常识知识相结合,使情感识别更强大.

主要方法:

  • 使用基于GPT的嵌入式来捕捉上下文含义.
  • 综合外部知识图 (ConceptNet,COMET) 用于常识推理.
  • 开发了一种融合模型,将语义和常识信息结合起来,用于情绪分类.

主要成果:

  • 拟议的模型显著超过了多标签情绪分类的GoEmotions数据集的当前基线.
  • 融合方法有效地将表面语言与更深层次的情感状态连接起来.
  • 在七个类别的情绪识别中获得了更高的准确性:快乐,悲伤,愤怒,恐惧,惊喜,厌恶和中立.

结论:

  • 将常识推理与上下文语义相结合,对于准确可靠的情感识别至关重要,特别是对于模两可的表达.
关键词:
常识知识是常识知识.概念网 (ConceptNet) 是一个概念网络.语境嵌入方式 语境嵌入方式情绪检测 情绪检测 情绪检测在 GPT-4 中使用.多标签分类的分类方式.

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  • 融合范式为理解文本中的情感提供了一种更为人性化的方法.
  • 这项研究通过使情绪分类更准确和多样化来推进情感计算.