Sentiment analysis has come long way since it was introduced as a natural language
processing task nearly 20 years ago. Sentiment analysis aims to extract the underlying …

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 …

Deep convolutional neural networks have performed remarkably well on many Computer
Vision tasks. However, these networks are heavily reliant on big data to avoid overfitting …

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

People spend considerable time on digital media, and are thus often exposed to
expressions of emotion by other people. This exposure can lead their own emotion …

Single domain generalization is a challenging case of model generalization, where the
models are trained on a single domain and tested on other unseen domains. A promising …

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 …

Abstract Visual Emotion Analysis (VEA) aims at predicting people's emotional responses to
visual stimuli. This is a promising, yet challenging, task in affective computing, which has …

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 …

Stock market prediction is one of the most challenging problems which has been distressing
both researchers and financial analysts for more than half a century. To tackle this problem …