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 …
Multimodal big data affective analytics: A comprehensive survey using text, audio, visual and physiological signals
Affective computing is an emerging multidisciplinary research field that is increasingly
drawing the attention of researchers and practitioners in various fields, including artificial …
drawing the attention of researchers and practitioners in various fields, including artificial …
Emoset: A large-scale visual emotion dataset with rich attributes
Abstract Visual Emotion Analysis (VEA) aims at predicting people's emotional responses to
visual stimuli. This is a promising, yet challenging, task in affective computing, which has …
visual stimuli. This is a promising, yet challenging, task in affective computing, which has …
A review, current challenges, and future possibilities on emotion recognition using machine learning and physiological signals
The seminal work on Affective Computing in 1995 by Picard set the base for computing that
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …
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 …
Hybrid context enriched deep learning model for fine-grained sentiment analysis in textual and visual semiotic modality social data
Detecting sentiments in natural language is tricky even for humans, making its automated
detection more complicated. This research proffers a hybrid deep learning model for fine …
detection more complicated. This research proffers a hybrid deep learning model for fine …
An image-text consistency driven multimodal sentiment analysis approach for social media
Social media users are increasingly using both images and text to express their opinions
and share their experiences, instead of only using text in the conventional social media …
and share their experiences, instead of only using text in the conventional social media …
Visual sentiment prediction based on automatic discovery of affective regions
Automatic assessment of sentiment from visual content has gained considerable attention
with the increasing tendency of expressing opinions via images and videos online. This …
with the increasing tendency of expressing opinions via images and videos online. This …
An end-to-end visual-audio attention network for emotion recognition in user-generated videos
Emotion recognition in user-generated videos plays an important role in human-centered
computing. Existing methods mainly employ traditional two-stage shallow pipeline, ie …
computing. Existing methods mainly employ traditional two-stage shallow pipeline, ie …
Boosting image sentiment analysis with visual attention
Sentiment analysis plays an important role in behavior sciences, which aims to determine
the attitude of a speaker or a writer regarding some topic or the overall contextual polarity of …
the attitude of a speaker or a writer regarding some topic or the overall contextual polarity of …