Emotion is a primary aspect of communication and can be expressed in many modalities.
Text-Based Emotion Detection (TBED), one of the fastest growing branches of Natural …

Emotions play an important role in the learning process. Considering the learner's emotions
is essential for electronic learning (e-learning) systems. Some researchers have proposed …

Emotion recognition in text is an important natural language processing (NLP) task whose
solution can benefit several applications in different fields, including data mining, e-learning …

Online Social Media (OSM) like Facebook and Twitter has emerged as a powerful tool to
express via text people's opinions and feelings about the current surrounding events …

Emotions constitute a key factor in human nature and behavior. The most common way for
people to express their opinions, thoughts and communicate with each other is via written …

Artificial Intelligence (AI) has been used for processing data to make decisions, Interact with
humans, and understand their feelings and emotions. With the advent of the Internet, people …

The opinion mining and human-agent interaction communities are currently addressing
sentiment analysis from different perspectives that comprise, on the one hand, disparate …

It is vastly acknowledged that analyzing social networks is a very challenging research area.
Take as a striking example the organization of vertices in clusters, with many edges joining …

Emotion detection has become an intriguing issue for researchers owing to its
psychological, social, and commercial significance. People express their feelings directly or …

Sentiment analysis aims to identify the polarity of a document through natural language
processing, text analysis and computational linguistics. Over the last decade, there has been …