Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Classification of Signals01:30

Classification of Signals

427
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
427
Classification of Neurotransmitters01:30

Classification of Neurotransmitters

2.7K
Neurotransmitters play a crucial role in the communication between neurons in the autonomic nervous system. Neurons in the autonomic nervous system can be cholinergic or adrenergic depending on the neurotransmitters synthesized. Cholinergic neurons use acetylcholine as their primary neurotransmitter. This includes all the preganglionic fibers of the sympathetic and pre- and postganglionic fibers of the parasympathetic nervous systems. In addition, neurons of the somatic nervous system also use...
2.7K
Motional Emf01:22

Motional Emf

3.2K
Magnetic flux depends on three factors: the strength of the magnetic field, the area through which the field lines pass, and the field's orientation with respect to the surface area. If any of these quantities vary, a corresponding variation in magnetic flux occurs. If the area through which the magnetic field lines are passing changes, then the magnetic flux also changes. This change in the area can be of two types: the flux through the rectangular loop increases as it moves into the...
3.2K
Labeling Emotion01:20

Labeling Emotion

119
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...
119
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
Classification of Systems-II01:31

Classification of Systems-II

137
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
137

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Approaches for Detecting Protein <i>S</i>-Palmitoylation and Depalmitoylation.

Critical reviews in analytical chemistry·2026
Same author

Early glycaemic exposure and cancer risk in people with newly diagnosed type 2 diabetes.

Diabetologia·2026
Same author

Peripheral immunosenescence biomarkers and longitudinal cognitive decline: a large population-based study.

npj aging·2026
Same author

Author's Reply: Letter to the Editor: Concerns Regarding Folic Acid in the Prevention and Treatment of Cervical Cancer.

Nutrition reviews·2026
Same author

Prognostic value of FNA-Tg for local recurrence following lateral neck dissection in papillary thyroid carcinoma.

BMC endocrine disorders·2026
Same author

<i>S</i>-palmitoylation of ATG4B facilitates the deconjugation of LC3-II to promote autophagy.

Autophagy·2026
Same journal

Q-learning based asynchronous Boolean control networks stabilization with data loss.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

New results on prescribed-time synchronization of complex networks via intermittent control.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Variance-constrained multi-view ensemble broad network for imbalanced data.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Dynamic analysis and reliable mechanical optimization application of ring HNN effected with a memristive neuron.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

DAFF-Net: A detection and search method for small-scale low surface brightness galaxies.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Quasi-synchronization for complex networks with hybrid pinning intermittent control.

Neural networks : the official journal of the International Neural Network Society·2026
查看所有相关文章

相关实验视频

Updated: Jun 17, 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

2.7K

使用MPNet和级联式广泛学习进行文本情感分类.

Lihong Cao1, Rong Zeng2, Sancheng Peng1

  • 1Laboratory of Language Engineering and Computing, Guangdong University of Foreign Studies, Guangzhou, 510006, China; Center for Linguistics and Applied Linguistics, Guangdong University of Foreign Studies, Guangzhou, 510006, China.

Neural networks : the official journal of the International Neural Network Society
|August 8, 2024
PubMed
概括
此摘要是机器生成的。

这项研究介绍了CBLMP,一种用于文本情感分类 (TEC) 的新方法. CBLMP将级联广泛学习 (CBL) 与MPNet句子嵌入相结合,比传统的情感检测深度学习方法提供更高的效率和性能.

关键词:
级联式广泛的学习.这是一个L曲线.在MPNet中使用MPNet.规范化参数优化 规范化参数优化文字情感分类 文字情感分类

更多相关视频

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
05:51

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

Published on: May 15, 2016

9.0K
Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

19.9K

相关实验视频

Last Updated: Jun 17, 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

2.7K
Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
05:51

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

Published on: May 15, 2016

9.0K
Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

19.9K

科学领域:

  • 自然语言处理 (NLP) 是一种自然语言处理.
  • 机器学习 机器学习
  • 人工智能的人工智能

背景情况:

  • 文本情感分类 (TEC) 对于理解文本中的人类情感至关重要.
  • 现有的TEC深度学习方法经常面临长时间培训和融合问题的挑战.
  • 需要更高效和有效的方法来检测文本中的情绪.

研究的目的:

  • 提出一种新的解决方案,CBLMP,用于文字情感分类 (TEC).
  • 解决TEC中传统深度学习方法的局限性.
  • 在情绪检测任务中增强特征提取和模型性能.

主要方法:

  • 利用MPNet (掩盖和变换的预训练语言模型) 来生成带有情感语义信息的句子嵌入.
  • 采用级联广泛学习 (CBL) 来提高特征提取能力和模型性能.
  • 实现了L曲线模型,以优化规范化参数,以平衡低规范化和过规范化.

主要成果:

  • 拟议的CBLMP方法在文本情感分类方面表现出卓越的表现.
  • 在SMP2020-EWECT和SemEval-2019任务3数据集上进行的实验证实了CBLMP的有效性.
  • 在识别和检测文本中的情绪方面,CBLMP的表现优于现有的基线方法.

结论:

  • CBLMP为文本情感分类提供了一个有希望和高效的替代方案.
  • 整合MPNet句子嵌入和CBL显著提高了情绪检测能力.
  • 该研究强调了新型机器学习方法在推进NLP任务中的潜力.