Emotion is intrinsic to humans and consequently, emotion understanding is a key part of
human-like artificial intelligence (AI). Emotion recognition in conversation (ERC) is …

Sentiment Analysis is probably one of the best-known area in text mining. However, in
recent years, as big data rose in popularity more areas of text classification are being …

Emotions and sentiments are subjective in nature. They differ on a case-to-case basis.
However, predicting only the emotion and sentiment does not always convey complete …

With the growth of Internet technologies more and more consumers are using it as a tool for
information seeking about a product or a company. Enhancement of the Internet, popularity …

Accurate detection of emotion from natural language has applications ranging from building
emotional chatbots to better understanding individuals and their lives. However, progress on …

Microblogging today has become a very popular communication tool among Internet users.
Millions of users share opinions on different aspects of life everyday. Therefore …

The World Wide Web, and online social networks in particular, have increased connectivity
between people such that information can spread to millions of people in a matter of …

User generated content on Twitter (produced at an enormous rate of 340 million tweets per
day) provides a rich source for gleaning people's emotions, which is necessary for deeper …

Real-time emotion recognition (RTER) in conversations is significant for developing
emotionally intelligent chatting machines. Without the future context in RTER, it becomes …

By the co-author of Language Online, this book builds on the earlier work while focusing on
multilingualism in the digital world. Drawing on a range of digital media–from email to …