Among the target-independent baseline models Target-ind (Vo and Zhang, 2015) and Semevalbest have shown strong performance compared with SSWE and SVM-ind (Jiang et al., 2011) as they use more features, especially rich automatic features using the embeddings of Mikolov et al. (2013) . Interestingly they also perform better than some of the targetdependent baseline systems, namely SVM-dep (Jiang et al., 2011) , Recursive NN and AdaRNN<cite> (Dong et al., 2014)</cite> , showing the difficulty of fully extracting and incorporating target information in tweets.