Sentiment analysis is an important natural language processing issue that has many
applications in various fields. The increasing popularity of social networks and growth and …

Compared to traditional sentiment analysis, which only considers text, multimodal sentiment
analysis needs to consider emotional signals from multimodal sources simultaneously and …

Sentiment analysis of social media data is crucial to understand people's position, attitude,
and opinion toward a certain event, which has many applications such as election prediction …

In the current era of automation, machines are constantly being channelized to provide
accurate interpretations of what people express on social media. The human race nowadays …

The increasing use of Artificial Intelligence (AI) in Social Media Marketing (SMM) triggered
the need for this research to identify and further analyze such expectations of potential users …

Social media sentiment analysis (also known as opinion mining) which aims to extract
people's opinions, attitudes and emotions from social networks has become a research …

Composing fashion outfits involves deep under-standing of fashion standards while
incorporating creativity for choosing multiple fashion items (eg, jewelry, bag, pants, dress). In …

Multimodal learning is an emerging yet challenging research area. In this paper, we deal
with multimodal sarcasm and humor detection from conversational videos and image-text …

Much progress has been made in the field of sentiment analysis in the past years.
Researchers relied on textual data for this task, while only recently they have started …

Social media users are increasingly turning to express opinions with both images and text,
while the visual content and text description may cover some conflicting information diverse …