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Physiology of Emotion01:20

Physiology of Emotion

1.0K
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...
1.0K
Labeling Emotion01:20

Labeling Emotion

189
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...
189
Cognitive Theories: Schachter-Singer Theory of Emotion01:20

Cognitive Theories: Schachter-Singer Theory of Emotion

485
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...
485
Empathy02:34

Empathy

9.6K
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. 
9.6K
Neural Circuits01:25

Neural Circuits

1.3K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.3K
Emotional Expression01:26

Emotional Expression

296
Emotional expression encompasses how individuals convey their emotions through verbal communication and non-verbal cues. These non-verbal actions include facial expressions, body language, and physical gestures, such as frowning or smiling. Among these, facial expressions play a crucial role in emotional expression and are understood universally, indicating a biological basis for how humans communicate emotions.
Universal Facial Expressions
Psychologist Paul Ekman identified seven basic...
296

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相关实验视频

Updated: Jul 27, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

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奥米克朗病毒情绪理解系统基于深度学习架构的理解系统.

Eman Thabet Khalid1, Mustafa Salah Khalefa1, Wijdan Yassen1

  • 1Department of Computer Sciences, College of Education for Pure Sciences, University of Basrah, Basrah, 6100 Iraq.

Journal of ambient intelligence and humanized computing
|June 8, 2023
PubMed
概括

在Twitter上对Omicron变种讨论的情绪分析显示,公众情绪主要是负面的. 这项研究使用深度学习模型来分析全球对Omicron变种的态度,达到高准确度.

科学领域:

  • 自然语言处理 (NLP) 是一种自然语言处理.
  • 深度学习 (Deep Learning) 是一种深度学习.
  • 情绪分析 情绪分析

背景情况:

  • 公众论挖掘和情绪分析对于了解公众对营销和医疗保健的态度至关重要.
  • 2021年底Omicron变种的快速传播引起了全球的重大关注和公共话语,特别是在社交媒体上.

研究的目的:

  • 开发和实施情绪分析框架,探索全球对Omicron变种的态度.
  • 根据社交媒体讨论,将公众情绪归类为积极,中立或负面.

主要方法:

  • 在深度学习中利用自然语言处理 (NLP) 技术.
  • 采用双向长短期记忆 (Bi-LSTM) 神经网络模型与深度神经网络 (DNN) 结合.
  • 从2021年12月11日至18日期间收集的Twitter用户推特中分析了文本数据.

主要成果:

  • 开发的情绪分析模型实现了94.6%的整体准确性.
  • 对推特的分析显示,对Omicron变种的负面情绪占主导地位 (42.3%).
  • 在分析的推特中,积极情绪占35.8%,中立情绪占21.9%.

结论:

关键词:
这是一个双LSTM.在 COVID-19 疫情中,深度学习是一种深度学习.情绪分析 情绪分析这是LSTM的LSTM.在NLP中,我们使用了NLP.奥米克朗病毒病毒.

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  • 该研究成功地应用了深度学习NLP技术来衡量公众对Omicron变种的情绪.
  • 调查结果表明,在指定的期间,与Omicron变种相关的公众焦虑和负面情绪水平显著.
  • 该模型的高准确性证明了其对公共卫生问题的实时情绪分析的有效性.