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 …

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 …

The purpose of this study was to investigate the effectiveness of Emotional Motivational
Feedback Message (EMFEM) in an online learning environment. This exploratory research …

Textual emotion detection is playing an important role in the human-computer interaction
domain. The mainstream methods of textual emotion detection are extracting semantic …

Emotion is a natural intrinsic state of mind that drives human behavior, social interaction,
and decision-making. Due to the rapid expansion in the current era of the Internet, online …

Emotion classification in text has growing interest among NLP experts due to the enormous
availability of people's emotions and its emergence on various Web 2.0 …

Sentiment analysis and emotion recognition are emerging research fields of research that
aim to build intelligent systems able to recognize and interpret human emotions. Due to the …

As a collection of various IoT devices, smart classroom can record various forms of teaching
data and provide rich data for recognizing teachers' emotions. Recognizing and analyzing …

In this research, we propose a complete set of approaches for identifying and extracting
emotions from Bangla texts. We provide a Bangla emotion classifier for six classes: anger …

Emotion recognition is a crucial aspect of human–computer interaction, particularly in the
field of marketing and advertising. Call centers play a vital role in generating positive client …