Therefore, we relax the labeling scheme followed in EWE UNI and design EWE MULTI to take into consideration a multi-class, multi-label setting, where a document can have more than one emotion label.
unlike EWE uNI , in EWE MuLTI the set of all emotions with a j (d) > 0 for document d is used as final emotion labels for d. the multi-label annotated dataset D is Our large corpus of unlabeled documents is extracted from the Amazon reviews dataset (McAuley et al., 2015) consisting of product reviews, spanning May 1996 -July 2014.