(Mohammad et al., 2016) and related deep learning based methods including MITRE (SemEval-2016 best performing system) (Zarrella and Marsh, 2016), n-grams+embeddings (Mohammad et al., 2017), TGMN-CR (Wei et al., 2018b), T-PAN (Dey et al., 2018), AS-biGRU-CNN (Zhou et al., 2017), and TAN (Du et al., 2017).
most of the related work of tweet stance detection explored the traditional deep learning models in their methods.