Sentiment analysis automatically evaluates people's opinions of products or services. It is an
emerging research area with promising advancements in high-resource languages such as …

The advent of massive amounts of textual, audio, and visual data has spurred the
development of econometric methodology to transform qualitative sentiment data into …

In the last few years thousands of scientific papers have investigated sentiment analysis,
several startups that measure opinions on real data have emerged and a number of …

As the use of automated social media analysis tools surges, concerns over accuracy of
analytics have increased. Some tentative evidence suggests that sarcasm alone could …

Sentiment analysis has become a key tool for several social media applications, including,
analysis of user's opinions about products and services, support for politics during …

Abstract Information and communications technologies have enabled the rise of the
phenomenon named sharing economy, which represents activities between people …

We present an exploration of cultural norms surrounding online disclosure of information
about one's interpersonal relationships (such as information about family members …

Sentiment analysis has become a very important tool for analysis of social media data.
There are several methods developed, covering distinct aspects of the problem and …

Emotions are part of human life, and they are present on several occasions, like decision
making and in social interactions. Computational identification of emotions in texts can be …

In this paper, we present a novel multimodal approach to estimate tension levels in news
videos. The news media constitute a particular type of discourse and has become a central …