Natural Language Processing for Emotion Recognition and Analysis

Emotion is a vital, adaptive, and profound notion to understand and analyze. It moves along the state of mind. It has uncertain motion. Affection, love, care, liking, joy, happiness, sadness, anxiety, anger, hatred, jealousy, fear, lust, and greed are some emotions. In general, these are categorized into positive and negative types based on feelings experienced by the body, mind, heart, brain, and spirit (soul). Not only Humans but also every living entity possesses emotions. Emotion is a multifaceted term though; the discussion will highlight human brain-related activities and emotions mapped to it. There could be some questions in your mind as what is emotion, what is the significance to recognize it, and why emotion recognition became essential in the current era? Which are the parameters to play a role in analyzing them? And so on! Certainly, the motivation focuses on the interesting areas which drive emotion recognition based on current technological trends. Before going into the details, it is noteworthy to acknowledge affective computing and the role of affective computing in emotion recognition. There exist scientific knowledge-based methods, statistical methods, and hybrid methods on which researchers have been working for the last few decades. It is not merely important to recognize an emotion; the accuracy measured is important while recognizing an emotion with the help of computational techniques. The effort summarizes comprehensive, explorative possibilities of emotion recognition for self and social well-being. It suggests exceptional intuitions into the practical-oriented applications. Subfields of emotion recognition include text, dialogue, conversation, audio, video, gesture, and physiology to distinguish emotions. Datasets are a crucial requirement for models to recognize emotions. In the end, efforts are taken to put light on emotional intelligence. It is an aptitude-based skill that supports machines, systems, and computers in sensing, articulating, and understanding emotions.