Active Learning for Cross-domain Sentiment Classification

  title={Active Learning for Cross-domain Sentiment Classification},
  author={Shoushan Li and Yunxia Xue and Zhongqing Wang and Guodong Zhou},
In the literature, various approaches have been proposed to address the domain adaptation problem in sentiment classification (also called cross-domain sentiment classification). However, the adaptation performance normally much suffers when the data distributions in the source and target domains differ significantly. In this paper, we suggest to perform active learning for cross-domain sentiment classification by actively selecting a small amount of labeled data in the target domain… CONTINUE READING
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