The analysis of sentiments is essential in identifying and classifying opinions regarding a
source material that is, a product or service. The analysis of these sentiments finds a variety …

Hypergraph learning is a technique for conducting learning on a hypergraph structure. In
recent years, hypergraph learning has attracted increasing attention due to its flexibility and …

In recent years, graph/hypergraph-based deep learning methods have attracted much
attention from researchers. These deep learning methods take graph/hypergraph structure …

Compared with single-modal content, multimodal data can express users' feelings and
sentiments more vividly and interestingly. Therefore, multimodal sentiment analysis has …

Humans are emotional creatures. Multiple modalities are often involved when we express
emotions, whether we do so explicitly (such as through facial expression and speech) or …

Abstract Multimodal Sentiment Analysis aims to predict the sentiment of video content.
Recent research suggests that multimodal sentiment analysis critically depends on learning …

Social media networks have become a significant aspect of people's lives, serving as a
platform for their ideas, opinions and emotions. Consequently, automated sentiment …

In this article, we focus on fake news detection task and aim to automatically identify the fake
news from vast amount of social media posts. To date, many approaches have been …

To exactly classify sentiments of microblog reviews with emojis in microblog social networks,
this paper first proposes an emoji vectorisation method to achieve emoji vectors. Then, an …

Sentiment analysis of social multimedia data has attracted extensive research interest and
has been applied to many tasks, such as election prediction and products evaluation …