Affective image content analysis: Two decades review and new perspectives
Images can convey rich semantics and induce various emotions in viewers. Recently, with
the rapid advancement of emotional intelligence and the explosive growth of visual data …
the rapid advancement of emotional intelligence and the explosive growth of visual data …
WSCNet: Weakly supervised coupled networks for visual sentiment classification and detection
Automatic assessment of sentiment from visual content has gained considerable attention
with the increasing tendency of expressing opinions online. In this paper, we solve the …
with the increasing tendency of expressing opinions online. In this paper, we solve the …
Sentiment recognition and analysis method of official document text based on BERT–SVM model
S Hao, P Zhang, S Liu, Y Wang - Neural Computing and Applications, 2023 - Springer
Sentiment recognition analysis is an important method for studying social textual
information. It has an important position in social text analysis and research. However, at …
information. It has an important position in social text analysis and research. However, at …
[HTML][HTML] Level of agreement between emotions generated by Artificial Intelligence and human evaluation: a methodological proposal
Images are capable of conveying emotions, but emotional experience is highly subjective.
Advances in artificial intelligence have enabled the generation of images based on …
Advances in artificial intelligence have enabled the generation of images based on …
APSE: Attention-aware polarity-sensitive embedding for emotion-based image retrieval
With the popularity of social media, an increasing number of people are accustomed to
expressing their feelings and emotions online using images and videos. An emotion-based …
expressing their feelings and emotions online using images and videos. An emotion-based …
Affective image recognition with multi-attribute knowledge in deep neural networks
Incorporating visual attributes such as objects and scene features into deep models has
been proved valuable for affective image recognition. In general, the existing works achieve …
been proved valuable for affective image recognition. In general, the existing works achieve …
Visual sentiment classification via low-rank regularization and label relaxation
In the human cognitive system, the emotional feeling is a complicated process. Visual
sentiment classification aims to predict the human emotions evoked by different images. In …
sentiment classification aims to predict the human emotions evoked by different images. In …
Toward Label-Efficient Emotion and Sentiment Analysis This article introduces label-efficient emotion and sentiment analysis from the computational perspective …
Emotion and sentiment play a central role in various human activities, such as perception,
decision-making, social interaction, and logical reasoning. Develo** artificial emotional …
decision-making, social interaction, and logical reasoning. Develo** artificial emotional …
[PDF][PDF] Toward Label-Efficient Emotion and Sentiment Analysis.
Emotion and sentiment play a central role in various human activities, such as perception,
decision-making, social interaction, and logical reasoning. Develo** artificial emotional …
decision-making, social interaction, and logical reasoning. Develo** artificial emotional …
Feature discrimination and diversification for image emotion recognition
X Wang, C Liu, M Hu, Y Yao… - Journal of Electronic …, 2022 - spiedigitallibrary.org
Emotion is strongly subjective, and different parts of the image may have a different degree
of impact on emotion. The key for solving image emotion recognition is to effectively mine …
of impact on emotion. The key for solving image emotion recognition is to effectively mine …