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 …

Deep convolutional neural networks (CNNs) provide an effective tool to extract complex
information from images. In the area of image polarity detection, CNNs are customarily …

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 …

Visual media has become one of the most potent means of conveying opinions or
sentiments on the web. Millions of photos are being uploaded by the people on famous …

Human's understanding of image content is a multi-level and multi-stage process. For visual
sentiment analysis, this process can be specified as the gradual perception from semantic to …

An image is worth a thousand words. Many researchers have conducted extensive studies
to understand visual emotions since an increasing number of users express emotions via …

Using image sentiment analysis rather than text sentiment analysis to make different
judgments has grown increasingly popular recently. In recent years, transfer learning …

With the development of visual social networks, the sentiment analysis of images has quickly
emerged for opinion mining. Based on the observation that the sentiments conveyed by …

Due to the lack of large-scale datasets, the prevailing approach in visual sentiment analysis
is to leverage models trained for object classification in large datasets like ImageNet …

Sharing our feelings through content with images and short videos is one main way of
expression on social networks. Visual content can affect people's emotions, which makes …