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 …

Visual Sentiment Analysis aims to understand how images affect people, in terms of evoked
emotions. Although this field is rather new, a broad range of techniques have been …

More and more users are getting used to posting images and text on social networks to
share their emotions or opinions. Accordingly, multimodal sentiment analysis has become a …

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 …

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 neural network has been widely used to train predictive models for applications such as
image processing, disease prediction, and face recognition. To produce more accurate …

Automatic assessment of sentiment from visual content has gained considerable attention
with the increasing tendency of expressing opinions via images and videos online. This …

Automatically predicting the emotions of user-generated videos (UGVs) receives increasing
interest recently. However, existing methods mainly focus on a few key visual frames, which …

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 …

Automatic assessment of sentiment from visual content has gained considerable attention
with the increasing tendency of expressing opinions on-line. In this paper, we solve the …