Sentiment analysis is an emerging technology that aims to explore people's attitudes toward
an entity. It can be applied in a variety of different fields and scenarios, such as product …

In the era of Artificial Intelligence Generated Content (AIGC), conditional multimodal
synthesis technologies (eg, text-to-image) are dynamically reshaping the natural content …

Multimodal sentiment analysis (MSA) is the process of identifying sentiment polarities that
users may simultaneously display in text, audio, and video data. Sentiment analysis …

When a multi-modal affective analysis model generalizes from a bimodal task to a trimodal
or multi-modal task, it is usually transformed into a hierarchical fusion model based on every …

Multimodal sentiment analysis aims to infer the sentiment of video bloggers from the features
of multiple input modalities. However, there are problems such as signal noise and signal …

Recently, exciting progress has been made in the research of supervised image captioning.
However, manually annotated image-annotation pair data is difficult and expensive to …

Prompt-tuning was proposed to bridge the gap between pretraining and downstream tasks,
and it has achieved promising results in Relation Extraction (RE). Although the existing …

In the era of We-media, articles are written by independently individuals that are not officially
registered with the authorities. Propaganda hidden in the We-media articles have the …

As a fundamental task, review sentiment classification aims to predict a user's overall
sentiment in a review about a product. Recent studies have proven critical effects of user …

This paper proposes a multimodal emotion recognition system based on hybrid fusion that
classifies the emotions depicted by speech utterances and corresponding images into …