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 …

Understanding the degree to which human facial expressions co-vary with specific social
contexts across cultures is central to the theory that emotions enable adaptive responses to …

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 …

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 …

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 …

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 …

Visual multimedia have become an inseparable part of our digital social lives, and they often
capture moments tied with deep affections. Automated visual sentiment analysis tools can …

Social media users are increasingly using both images and text to express their opinions
and share their experiences, instead of only using text in the conventional social media …