Sentiment analysis (SA) has gained much traction In the field of artificial intelligence (AI) and
natural language processing (NLP). There is growing demand to automate analysis of user …

Social media is a powerful source of communication among people to share their sentiments
in the form of opinions and views about any topic or article, which results in an enormous …

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 …

Sarcasm, sentiment and emotion are tightly coupled with each other in that one helps the
understanding of another, which makes the joint recognition of sarcasm, sentiment and …

Deep learning has emerged as a powerful machine learning technique to employ in
multimodal sentiment analysis tasks. In the recent years, many deep learning models and …

Sentiment and sarcasm detection in social media contribute to assessing social opinion
trends. Over the years, most artificial intelligence (AI) methods have relied on real values to …

Huge amounts of multimodal content and comments in a mixture form of text, image, and
emoji are continuously shared by users on various social networks. Most of the comments of …

We tackle the crucial challenge of fusing different modalities of features for multimodal
sentiment analysis. Mainly based on neural networks, existing approaches largely model …

Sentiment analysis is a computational technique that analyses the subjective information
conveyed within a given expression. This encompasses appraisals, opinions, attitudes or …

Conversational sentiment analysis is an emerging, yet challenging subtask of the sentiment
analysis problem. It aims to discover the affective state and sentimental change in each …