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This paper describes the UMDSub system that participated in Task 2 of SemEval-2018. We developed a system that predicts an emoji given the raw text in a English tweet. The system is a Multi-channel Convolutional Neural Network based on subword embeddings for the representation of tweets. This model improves on character or word based methods by about 2%. Our system placed 21st of 48 participating systems in the official evaluation.doi:10.18653/v1/s18-1060 dblp:conf/semeval/WangP18 fatcat:3eytxdvtkffbtaxatvxaokp5de