Deep learning for sentiment analysis: A survey

L Zhang, S Wang, B Liu - Wiley Interdisciplinary Reviews: Data …, 2018 - Wiley Online Library
Deep learning has emerged as a powerful machine learning technique that learns multiple
layers of representations or features of the data and produces state‐of‐the‐art prediction …

An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future …

D Sadeghi, A Shoeibi, N Ghassemi, P Moridian… - Computers in Biology …, 2022 - Elsevier
Schizophrenia (SZ) is a mental disorder that typically emerges in late adolescence or early
adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior …

Exploiting multi-domain visual information for fake news detection

P Qi, J Cao, T Yang, J Guo, J Li - 2019 IEEE international …, 2019 - ieeexplore.ieee.org
The increasing popularity of social media promotes the proliferation of fake news. With the
development of multimedia technology, fake news attempts to utilize multimedia content with …

[PDF][PDF] Affective image content analysis: A comprehensive survey

S Zhao, G Ding, Q Huang, TS Chua, B Schuller… - 2018 - opus.bibliothek.uni-augsburg.de
Images can convey rich semantics and induce strong emotions in viewers. Recently, with the
explosive growth of visual data, extensive research efforts have been dedicated to affective …

Affective image content analysis: Two decades review and new perspectives

S Zhao, X Yao, J Yang, G Jia, G Ding… - … on Pattern Analysis …, 2021 - ieeexplore.ieee.org
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 …

[BUCH][B] Sentiment analysis: Mining opinions, sentiments, and emotions

B Liu - 2020 - books.google.com
Sentiment analysis is the computational study of people's opinions, sentiments, emotions,
moods, and attitudes. This fascinating problem offers numerous research challenges, but …

Parallel architecture of convolutional bi-directional LSTM neural networks for network-wide metro ridership prediction

X Ma, J Zhang, B Du, C Ding… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Accurate metro ridership prediction can guide passengers in efficiently selecting their
departure time and transferring from station to station. An increasing number of deep …

Cross-modality bridging and knowledge transferring for image understanding

C Yan, L Li, C Zhang, B Liu, Y Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The understanding of web images has been a hot research topic in both artificial intelligence
and multimedia content analysis domains. The web images are composed of various …

Unlocking the emotional world of visual media: An overview of the science, research, and impact of understanding emotion

JZ Wang, S Zhao, C Wu, RB Adams… - Proceedings of the …, 2023 - ieeexplore.ieee.org
The emergence of artificial emotional intelligence technology is revolutionizing the fields of
computers and robotics, allowing for a new level of communication and understanding of …

Deep emotional arousal network for multimodal sentiment analysis and emotion recognition

F Zhang, XC Li, CP Lim, Q Hua, CR Dong, JH Zhai - Information Fusion, 2022 - Elsevier
Multimodal sentiment analysis and emotion recognition has become an increasingly popular
research area, where the biggest challenge is to efficiently fuse the input information from …