Affective computing is an emerging interdisciplinary research field bringing together
researchers and practitioners from various fields, ranging from artificial intelligence, natural …

Despite the increased recognition of the importance of images as a rich data source, the full
potential of images to advance tourism and hospitality knowledge, both conceptually and …

Visual-based social media are growing exponentially and have become an integrated part
of the customer engagement strategy of many brands. Prior work points to the textual …

Sentiment analysis aims to automatically uncover the underlying attitude that we hold
towards an entity. The aggregation of these sentiment over a population represents opinion …

More and more users are getting used to posting images and text on social networks to
share their emotions or opinions. Accordingly, multimodal sentiment analysis has become a …

As an emerging task in opinion mining, End-to-End Multimodal Aspect-Based Sentiment
Analysis (MABSA) aims to extract all the aspect-sentiment pairs mentioned in a pair of …

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

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 …

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 our everyday lives and social interactions we often try to perceive the emotional states of
people. There has been a lot of research in providing machines with a similar capacity of …