(UMT, Lahore, 2023) Muhammad Wasif; Amna Ajmal; Hafiz Muhammad Ahmad Nadeem; Mohammad
One of the universal ways that people communicate is through facial expressions. In this
paper, we take a deep dive, implementing multiple deep learning models for foremost
sentiment identification (FSI). Our goals are twofold: we aim not only to maximize
accuracy, but also to apply our results to the real world. By leveraging a technique from
recent research, we find there is 62.27% accuracy on our baseline model of FER2013 test
set