一个以文本为导向的多式联运规模路径融合网络,用于多式联运情绪分析.
Siyuan Liu1, Hongkun Zhao1, Yang Chen1
1School of Information Science and Engineering, Shandong University, Qingdao, Shandong, China.
Scientific reports
|December 15, 2025
概括
这项研究介绍了一种新的文本引导多式模式尺度路径融合网络 (TMSPF-Net),用于增强情绪分析. 该模型动态集成多层次的功能,显著提高了情绪分析任务的性能.
科学领域:
- 人工智能的人工智能
- 计算机科学 计算机科学
- 自然语言处理自然语言处理.
背景情况:
- 现有的多式联络情绪分析 (MSA) 方法在固定尺度上扎,并且无法抑制冗余的非语言信息.
- 这限制了情绪特征的动态建模,并阻碍了性能改进.
研究的目的:
- 提出一个新的文本导向多式模式尺度路径融合网络 (TMSPF-Net),以解决当前MSA方法的局限性.
- 在不同尺度上动态建模情绪特征,并以非语言方式抑制冗余信息.
主要方法:
- 该TMSPF-Net使用多尺度适应变压器 (MAT) 来捕获各种尺度的内部和间模式交互.
- 一个以文本为导向的冲突消除模块 (TGCEM) 使用文本指导以非语言方式过冲突信号.
- 道融合模块集成了使用预训练的语言模型进行最终情绪分析的功能.
主要成果:
- 与最先进的方法相比,TMSPF-Net在MOSI和MOSEI数据集上的大多数指标上表现出卓越的表现.
- 该模型有效地指导了非语言模式的学习,并集成了多层次的情绪特征.
结论:
- 通过动态集成多尺度特征,TMSPF-Net提供了一种灵活有效的多式联络情绪分析方法.
- 拟议的方法显示了促进情绪分析研究和应用的巨大潜力.
更多相关视频
相关概念视频
Tagging and Fusion Proteins
8.3K
Proteins are involved in several cellular processes and biochemical reactions. Analyzing a specific protein of interest requires it to be isolated from the other proteins in the cell. This is achieved by overexpressing the specific gene in a suitable host to produce large quantities of the target protein. A tag or label is recombined with the gene to produce a fusion protein containing the target protein and the tag. The tags on these fusion proteins can then be used for easy detection and...
8.3K
Sensory Modalities
3.6K
Sensation typically is the process by which the sensory receptors and sense organs detect stimuli from the internal and external environment and transmit this information to the central nervous system for processing.
General senses refer to the broad category of sensory information detected by receptors in the body and can be further grouped into somatic and visceral senses. Somatic sensations include touch, pressure, temperature, and pain and are essential for navigating our environment and...
General senses refer to the broad category of sensory information detected by receptors in the body and can be further grouped into somatic and visceral senses. Somatic sensations include touch, pressure, temperature, and pain and are essential for navigating our environment and...
3.6K
Sympathetic Pathways: Sympathetic Chain Ganglia
5.5K
The sympathetic chain ganglia, also known as the sympathetic trunk ganglia or paravertebral ganglia, are a series of ganglia located bilaterally on either side of the spinal column. These ganglia serve as relay stations for the sympathetic nervous system. Preganglionic neurons originating in the spinal cord project their axons to the sympathetic chain ganglia. Within the ganglia, these preganglionic fibers synapse with postganglionic neurons.The postganglionic neurons of the sympathetic trunk...
5.5K
Auditory Pathway
7.0K
Auditory pathways constitute the complex neural circuits responsible for transmitting and interpreting auditory information from the peripheral auditory system to the brain. Sound waves are initially captured by the outer ear, funneled through the ear canal, and reach the tympanic membrane (eardrum). These vibrations are transmitted via the middle ear's ossicles to the inner ear's cochlea.
When viewed cross-sectionally, the cochlea reveals the scala vestibuli and scala tympani flanking...
When viewed cross-sectionally, the cochlea reveals the scala vestibuli and scala tympani flanking...
7.0K
Scaling
523
In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...
523
Classification of Signals
1.3K
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...
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...
1.3K


