AIMC Topic: Emotions

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Aesthetic and Implication Analysis of the Traditional Poetic Environment Based on Natural Language Emotion Analysis.

Journal of environmental and public health
The uniqueness of aesthetic implication in Zhou Dynasty poetics lies in that it is the basic forming stage of the concept of formal beauty of the whole Chinese nation, and the aesthetic implication of the Zhou Dynasty poetics art has fundamental sign...

The Scalable Fuzzy Inference-Based Ensemble Method for Sentiment Analysis.

Computational intelligence and neuroscience
Internet environments such as social networks, news sites, and blogs are the platforms where people can share their ideas and opinions. Many people share their comments instantly on the internet, which results in creating large volumes of entries. It...

Exploring behaviours perceived as important for human-Dog bonding and their translation to a robotic platform.

PloS one
To facilitate long-term engagement with social robots, emerging evidence suggests that modelling robots on social animals with whom many people form enduring social bonds-specifically, pet dogs-may be useful. However, scientific understanding of the ...

Emotion Analysis Based on Neural Network under the Big Data Environment.

Journal of environmental and public health
Aiming at the problems of poor emotional tendency prediction effect and low utilization of syntactic information, this study proposes a big data sentiment analysis method based on neural network. First, the BERT model is used to vectorize the input d...

Optimal Facial Feature Based Emotional Recognition Using Deep Learning Algorithm.

Computational intelligence and neuroscience
Humans have traditionally found it simple to identify emotions from facial expressions, but it is far more difficult for a computer system to do the same. The social signal processing subfield of emotion recognition from facial expression is used in ...

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...