Calculating the impact of event using emotion detection.

Shiva, T.; Kavya, T.; Reddy, N. Abhinash; Bano, Shahana

Abstract

Regardless of the extraordinary advancements in artificial intelligence, we are still far from having the capacity to normally associate with machines. Feature analysis in emotion recognition is significantly less concentrated than the facial recognition. In events like lectures and meetings, it is common for speakers to request feedback in the form of reviews; however, sometimes people do not have sufficient time to adequately write down all their opinions about the event. We suggest that using an AI system, it would be possible to assess an audience's emotional state over the course of an event without needing to ask them to write down their feedback.

Citation

SHIVA, T., KAVYA, T., REDDY, N.A. and BANO, S. 2019. Calculating the impact of event using emotion detection. International journal of innovative technology and exploring engineering [online], 8(7), article number G5105058719, pages 183-189. Available from: https://www.ijitee.org/portfolio-item/G5105058719/

• Journal Article Type: Article
• Acceptance Date: May 10, 2019
• Online Publication Date: May 30, 2019
• Publication Date: May 31, 2019
• Deposit Date: Sep 21, 2023
• Publicly Available Date: Sep 21, 2023
• Journal: International journal of innovative technology and exploring engineering
• Print ISSN: 2278-3075
• Electronic ISSN: 2278-3075
• Publisher: Blue Eyes Intelligence Engineering and Sciences Publication
• Peer Reviewed: Peer Reviewed
• Volume: 8
• Issue: 7
• Article Number: G5105058719
• Pages: 183-189
• Keywords: Sentiment analysis; Emotion recognition; Facial recognition; Neural networks; Machine learning
• Public URL: https://rgu-repository.worktribe.com/output/2064119
• Publisher URL: https://www.ijitee.org/portfolio-item/G5105058719/