Deep learning for sentiment analysis: A survey
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 …
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 …
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 …
adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior …
Exploiting multi-domain visual information for fake news detection
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 …
development of multimedia technology, fake news attempts to utilize multimedia content with …
[PDF][PDF] Affective image content analysis: A comprehensive survey
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 …
explosive growth of visual data, extensive research efforts have been dedicated to affective …
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 …
[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 …
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
Accurate metro ridership prediction can guide passengers in efficiently selecting their
departure time and transferring from station to station. An increasing number of deep …
departure time and transferring from station to station. An increasing number of deep …
Cross-modality bridging and knowledge transferring for image understanding
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 …
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
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 …
computers and robotics, allowing for a new level of communication and understanding of …
Deep emotional arousal network for multimodal sentiment analysis and emotion recognition
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 …
research area, where the biggest challenge is to efficiently fuse the input information from …