Measuring feature distributions in sentiment classification

摘要: We address in this paper the adaptation problem sentiment classification. As we know, available labeled data required by classifiers does not always exist. Given a set of from different domains and collection unlabeled target domain, it would be interesting to determine which subset those has feature distribution similar domain. In way, absence for particular plausible make use corresponding most domains.