Learning Bilingual Sentiment Word Embeddings for Cross-language Sentiment Classification

  title={Learning Bilingual Sentiment Word Embeddings for Cross-language Sentiment Classification},
  author={Huiwei Zhou and Long Chen and Fulin Shi and Degen Huang},
The sentiment classification performance relies on high-quality sentiment resources. However, these resources are imbalanced in different languages. Cross-language sentiment classification (CLSC) can leverage the rich resources in one language (source language) for sentiment classification in a resource-scarce language (target language). Bilingual embeddings could eliminate the semantic gap between two languages for CLSC, but ignore the sentiment information of text. This paper proposes an… CONTINUE READING
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Cross-Language Sentiment Analysis Based on Parser (in Chinese)

  • Qiang Chen, Yanxiang He, Xule Liu, Songtao Sun, Min Peng, Fei Li.
  • Acta Scientiarum Naturalium Universitatis…
  • 2014
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