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Semi-supervised recursive autoencoders for predicting sentiment distributions

EMNLP, pp.151-161, (2011)

Cited by: 1449|Views246
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Abstract

We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space representations for multi-word phrases. In sentiment prediction tasks these representations outperform other state-of-the-art approaches on commonly used datasets, s...More

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