Social networking platforms have become an essential means for communicating feelings to
the entire world due to rapid expansion in the Internet era. Several people use textual …

Sentiment analysis from text consists of extracting information about opinions, sentiments,
and even emotions conveyed by writers towards topics of interest. It is often equated to …

Sentiment analysis has been a well-studied research direction in computational linguistics.
Deep neural network models, including convolutional neural networks (CNN) and recurrent …

Protests are an integral part of democracy and an important source for citizens to convey
their demands and/or dissatisfaction to the government. As citizens become more aware of …

Sentiment analysis through machine learning using Twitter data has become a popular topic
in recent years. Here we address the problem of sentiment analysis during critical events …

Massive open online courses (MOOCs) are recent innovative approaches in distance
education, which provide learning content to participants without age‐, gender‐, race‐, or …

Growth in the area of opinion mining and sentiment analysis has been rapid and aims to
explore the opinions or text present on different platforms of social media through machine …

Retailers are increasingly using conversational AI (chatbots) for customer service due to the
perceived benefits and reduced operational costs of this emerging technology. Yet our …

With the advent of Web 2.0, people became more eager to express and share their opinions
on web regarding day-to-day activities and global issues as well. Evolution of social media …

The internet has become embedded into our daily lives, no longer an esoteric phenomenon,
but instead an unremarkable way of carrying out our interactions with one another. Online …