The resulting dataset contains 4,077 tweets, with an average of 3.09 entity mentions (targets) per tweet. As many as 3,713 tweets have more than a single entity mention (target) per tweet, which makes the task different from 2015 Semeval 10 subtask C (Rosenthal et al., 2015) and a target-dependent benchmarking dataset of<cite> Dong et al. (2014)</cite> where each tweet has only one target annotated and thus one sentiment label assigned.