Calculating the Impact of Event Using Emotion Detection
T. Shiva1, T. Kavya2, N. Abhinash Reddy3, Shahana Bano4
1Tellamekala Shiva, Computer Science and Engineering, KLEF, Greenfields, Vaddeswaram, Guntur (Andhra Pradesh), India.
2Tellamekala kavya, Computer Science and Engineering, Guntur (Andhra Pradesh), India.
3Nethani Abhinash Reddy, Computer Science and Engineering, KLEF, Greenfields, Vaddeswaram, Guntur (Andhra Pradesh), India.
4ShahanaBano, Computer Science and Engineering, KLEF, Greenfields, Vaddeswaram, Guntur (Andhra Pradesh), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 183-189 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5105058719/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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 we access their effect on people with the help of reviews, There might be a case where people don’t give their time in writing their opinion perfectly, with the help of this system we could find the behavior trends of the audience in the whole keynote and assess in which part of event the audience were feeling bad or good about the event.
Keyword: Emotion Recognition, Face recognition, Neural Networks, Machine-learning.
Scope of the Article: Machine Learning.