Enrique Cuan

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The development of a sentiment classifier experiences two problems to cope with: the demand of large amounts of labelled training data and a decrease in performance when the classifier is applied to a different domain. In this paper, we attempt to address this problem by exploring a number of metrics that try to predict the cross-domain performance of a(More)
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