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

Thermal imaging has recently been investigated in automatic emotion identification to get an
insight into reliable information about human emotion. However, the methods employed to …

Recognizing emotions is vital in communication. Emotions convey additional meanings to
the communication process. Nowadays, people can communicate their emotions on many …

Aspect-context sentiment classification aims to classify the sentiments about an aspect that
corresponds to its context. Typically, machine learning models considers the aspect and …

Abstract Machines can be equipped with the capability of identifying human emotions
through conversation, thus enabling them to empathize with natural persons when they …

Recent advances in artificial intelligence combined with behavioral sciences have led to the
development of cutting-edge tools for recognizing human emotions based on text, video …

This paper presents an innovative approach to address the problems researchers face in
Emotion Aware Recommender Systems (EARS): the difficulty and cumbersome collecting …

Emotion detection is a branch of sentiment analysis that focuses on the identification and
study of emotions. Text mining, analysis of extracted information, and in-depth research are …

The growth of the internet has made it possible for people to use text messaging programs to
communicate and share their thoughts about everyday activities as well as regional and …

AI has been used to process the data for decision-making, problem-solving, interaction with
humans and to understand human's feelings, emotions and their behavior. In today's world …