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Emotion-wise feature interaction analysis-based visual emotion distribution learning
Image emotion is not exclusive, which makes emotion distribution learning more meaningful than emotion classification for visual emotion recognition....
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A Review of Key Technologies for Emotion Analysis Using Multimodal Information
Emotion analysis, an integral aspect of human–machine interactions, has witnessed significant advancements in recent years. With the rise of...
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COSMIC: Music emotion recognition combining structure analysis and modal interaction
As a common multi-modal information carrier, music is frequently used to deliver emotions with lyrics and melodies. Besides lyrics (text) and...
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Emotion quantification techniques for cognitive reappraisal: a systematic review and scientometric analysis
Cognitive reappraisal intends to study the significance of an event concerning any emotional reaction. Understanding the efficacy of cognitive...
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Speech Emotion Recognition Using Machine Learning: A Comparative Analysis
It is possible to identify emotions based on a person's speech. The field of research focusing on expressing emotions through voice is continuously...
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Emotion Analysis in Software Ecosystems
Software developers are known to experience a wide range of emotions while performing development tasks. Emotions expressed in developer...
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Quantified emotion analysis based on design principles of color feature recognition in pictures
When people observe pictures, different pictures will generate different emotions, and the painters often convey emotional energy to the audience...
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Video emotion analysis enhanced by recognizing emotion in video comments
Video emotion analysis is one of the hottest topics in the video understanding community to cognize the emotion in videos for affective computing,...
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Emotion and sentiment analysis for intelligent customer service conversation using a multi-task ensemble framework
Understanding users’ exact feelings and enhancing enterprise customer relationship management depend heavily on emotion and sentiment analysis in...
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Enhanced V-Net approach for the emotion recognition and sentiment analysis in the healthcare data
Emotion plays a vital part in the life of humankind. Emotion Recognition (ER) is the necessary task to find one's inner Emotion through speech, text...
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Emotion and personality analysis and detection using natural language processing, advances, challenges and future scope
Emotion detection from text is a relatively new sub-field of artificial intelligence closely related to Sentiment Analysis (SA). SA detects positive,...
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Analysis of brain areas in emotion recognition from EEG signals with deep learning methods
Emotion recognition technology is widely employed in areas such as brain-computer interfaces, healthcare, security, e-commerce, education, and...
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Emotion recognition based on phase-locking value brain functional network and topological data analysis
Traditional threshold-based methods in brain functional network analysis have some drawbacks. First, the process of determining thresholds is often...
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Comparing Sentiment Analysis and Emotion Analysis of Algorithms vs. People
Sentiment analysis and emotion analysis have seen continued growth within recent years. Due to this growth, it is important to question the...
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Speech emotion recognition and text sentiment analysis for financial distress prediction
In recent years, there has been an increasing interest in text sentiment analysis and speech emotion recognition in finance due to their potential to...
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Incorporating Spiking Neural Network for Dynamic Vision Emotion Analysis
In the domain of affective computing, researchers have sought to enhance the performance of models and algorithms by leveraging the complementarity...
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Conducting Morality and Emotion Analysis on Blog Discourse
Social media has exploded in its usage, since the advancement of technology with individuals sharing their opinions and beliefs on its platform...
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Analysis of facial emotion expression in eating occasions using deep learning
Eating is experienced as an emotional social activity in any culture. There are factors that influence the emotions felt during food consumption. The...
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Affect-GCN: a multimodal graph convolutional network for multi-emotion with intensity recognition and sentiment analysis in dialogues
Emotion classification along with sentimental analysis in dialogues is a complex task that has currently attained immense popularity. When...
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Unveiling emotion dynamics in problem-solving: a comprehensive analysis with an intelligent tutoring system using facial expressions and electrodermal activities
Emotions play a crucial role in the learning process, yet there is a scarcity of studies examining emotion dynamics in problem-solving with...
