Decoding Sentiments: A Comprehensive Exploration of Real-Time Emotion Recognition from Text Through Deep Learning
G. Sowmya, R. Akhilesh, Aurangabadkar Rohan, Garikapati Kausthub Rao, Atul Kumar Nayak, Koppolu Midhilesh · 2024
Emotional state of a person can be found out through various modalities such as using facial expressions, voice of the person, text and so on. Our study is solely based on the emotion extracted through the text. Past research focused on categorizing texts into sentiments like positive, negative, or neutral, our novel approach shifts to predicting specific emotional states like angry, sad or happy. Our study covers the previous researches done in this field which are ranging from deep learning models, natural language processing, and machine learning models. Recurrent neural networks and its variants are mainly studied for recognizing the emotion in text. The integration of emotion detection in the customer feedback enhances organizational insights, enabling proactive measures to elevate customer satisfaction.