Real Time Emotion Recognition From Text Using Deep Learning and Data Analysis
G. Sowmya, Aurangabadkar Rohan, Garikapati Kausthub Rao, Koppolu Midhilesh, Atul kumar Nayak · Advances in computational intelligence and robotics book series · 2024
In the era of digital communication, understanding human emo- tions expressed through text has become increasingly vital, this increases the importance of accurate emotion recognition from text, which can be useful in various applications. This research paper delves into the realm of text-based emotion recognition precisely identifying and categorizing the emotions expressed in textual con- tent by using a deep learning approach such as Bi-LSTM. Presently, a significant portion of ongoing research primarily centers on the classification of text based on sentiments, with a small fraction focusing towards emotion recognition, particularly within the con- text of business applications. The principal objective of our research is to bridge the gap between the business organizations and the customers by analyzing the customer reviews based on emotion classification. This helps furnish organizations with a systematic approach to comprehend customer emotions, providing a more precise evaluation of product performance.