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A 2-dimensional numerical data set X = {x1,…,xn} with associated category labels {l1,…,ln} can be accurately represented in a 2-dimensional scatterplot where color is used to represent each datum’s label. The colorized scatterplot indicates the presence or absence of spatial clusters in X and any special distribution of labels among those clusters. The same approach…

We propose a novel framework exploiting domain-aware aspect similarity for solving the multi- source cross-domain sentiment classification problem under the constraint of little labeled data. Existing works mainly focus on identifying the common sentiment features from all domains with weighting based on the coarse-grained domain similarity. We argue that it might not provide an accurate…