Deep Learning based Emotion Analysis and Recognition for Movie Review

• Published in: International journal for research in applied science and engineering technology Vol. 10; no. 6; pp. 453 - 459
• Main Authors: TK, Kamalesh, P, Ragul, S, Aravindh Siva, G, Pradeep Kumar
• Format: Journal Article
• Language: English
• Published: 30.06.2022
• ISSN: 2321-9653; 2321-9653
• DOI: 10.22214/ijraset.2022.43578

In the present world of AI-based systems, image processing is a prominent emerging method. One of the topics covered by artificial intelligence machine learning techniques is emotion recognition. Emotion Recognition is the process of analyzing facial expressions, body posture, gestures, and voice to interpret a person's thinking and current mental state. This allows one to determine whether or not the individual is interested in the continuing action. The Audience Feedback Analysis' fundamental functionality Using Emotion Recognition allows you to collect and analyze every individual's facial expression during or after a seminar, discussion, lecture, or keynote, and provide an analysis of the average emotional state of the audience. The major goal of the proposed system is to offer the event organizer or administrator with accurate and unbiased feedback by analyzing the expressions of the crowd during the duration of the event or at a specific time interval. Keywords: Convolutional Neural Network(CNN), Emotion recognition, Deep-Learning, ReLU.