The network we used is composed of 101 layers (ResNet-101), initialized with pretrained parameters learned on ImageNet (Deng et al., 2009).
by modeling the semantics of emojis, we can improve highly-subjective tasks like sentiment analysis, emotion recognition and irony detection (Felbo et al., 2017).