Semi-Supervised Sentiment Classification with a Ensemble Strategy

Journal of Chinese Information Processing, pp. 124-130, 2013.

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Abstract:

Sentiment classification aims to predict the sentimental orientation expressed in the text.In this paper,we investigate the semi-supervised approaches for sentiment classification in a ensemble learning framework where a abound of unlabeled data is leveraged to enhance the classification performance together with a small amount of labeled...More

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ZH基于集成学习的半监督情感分类方法研究
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