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- W85127141 abstract "AbstractWe address in this paper the adaptation problem in sentiment classification. As we know, available labeled data required by sentiment classifiers does not always exist. Given a set of labeled data from different domains and a collection of unlabeled data of the target domain, it would be interesting to determine which subset of those domains has a feature distribution similar to the target domain. In this way, in the absence of labeled data for a particular target domain, it would be plausible to make use of the labeled data corresponding to the most similar domains." @default.
- W85127141 created "2016-06-24" @default.
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- W85127141 date "2013-01-01" @default.
- W85127141 modified "2023-09-27" @default.
- W85127141 title "Measuring Feature Distributions in Sentiment Classification" @default.
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- W85127141 doi "https://doi.org/10.1007/978-3-642-37798-3_7" @default.
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