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Emotions

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Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation.

IEEE transactions on cybernetics
Thanks to large-scale labeled training data, deep neural networks (DNNs) have obtained remarkable success in many vision and multimedia tasks. However, because of the presence of domain shift, the learned knowledge of the well-trained DNNs cannot be ...

Construction and Analysis of Emotion Recognition and Psychotherapy System of College Students under Convolutional Neural Network and Interactive Technology.

Computational intelligence and neuroscience
This study's aim is to effectively establish a psychological intervention and treatment system for college students and discover and correct their psychological problems encountered in a timely manner. From the perspectives of pedagogy and psychology...

The Public Sentiment Analysis of Double Reduction Policy on Weibo Platform.

Computational intelligence and neuroscience
Weibo platform is an indispensable transmission channel in education policy release and dissemination. The events and sentiments contained in education policies microblogs include the public sentiment and support the general management and guidance s...

A Study on the Effectiveness of IT Application Education for Older Adults by Interaction Method of Humanoid Robots.

International journal of environmental research and public health
Education using humanoid robots can have a positive impact in many fields, including in medical or physical training. This study investigated the effects of robot interactions with respect to facial expressions, gestures, voices and their combination...

Attention-Emotion-Enhanced Convolutional LSTM for Sentiment Analysis.

IEEE transactions on neural networks and learning systems
Long short-term memory (LSTM) neural networks and attention mechanism have been widely used in sentiment representation learning and detection of texts. However, most of the existing deep learning models for text sentiment analysis ignore emotion's m...

Text Analysis and Policy Guidance of Emotional Intonation of Enterprise Management Based on Deep Learning.

Computational intelligence and neuroscience
In the context of global science and technology, all countries pay more and more attention to the text analysis of emotional intonation, and the emotional intonation text analysis and policy orientation of enterprise management in major international...

ResNet-50 based technique for EEG image characterization due to varying environmental stimuli.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Emotion is an important factor affecting a person's physical and mental health, but there are few ways to detect a patient's emotions in daily life. Negative emotions not only affect recovery after treatment, but also cause ...

Sentiment Analysis and Emotion Recognition from Speech Using Universal Speech Representations.

Sensors (Basel, Switzerland)
The study of understanding sentiment and emotion in speech is a challenging task in human multimodal language. However, in certain cases, such as telephone calls, only audio data can be obtained. In this study, we independently evaluated sentiment an...

Text-Based Emotion Recognition Using Deep Learning Approach.

Computational intelligence and neuroscience
Sentiment analysis is a method to identify people's attitudes, sentiments, and emotions towards a given goal, such as people, activities, organizations, services, subjects, and products. Emotion detection is a subset of sentiment analysis as it predi...

Frequency, Time, Representation and Modeling Aspects for Major Speech and Audio Processing Applications.

Sensors (Basel, Switzerland)
There are many speech and audio processing applications and their number is growing. They may cover a wide range of tasks, each having different requirements on the processed speech or audio signals and, therefore, indirectly, on the audio sensors as...