Facial Sentiment Recognition using artificial intelligence techniques.
Keywords:Facial Sentiment Recognition, Convolutional artificial neural network, Linear regression, Satisfied prediction
Facial emotion recognition technology is used to analyze and recognize human emotions based on facial expressions. This
technology uses deep learning models to classify facial expressions, eyes, eyebrows, mouth, and other facial expressions to
determine a person's emotions. The application of facial emotion recognition in the field of education is a potential way to
evaluate the level of student absorption after each class period. Using cameras and emotion recognition technology, the
system can record and analyze students' facial expressions during class. In this paper, we use the Convolutional Neural
Network (CNN) algorithm combined with the linear regression analysis method to build a model to predict students' facial
emotions over a period of time camera recorded.
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