Learning Bilingual Sentiment Word Embeddings for Cross-language Sentiment Classification

@inproceedings{Zhou2015LearningBS,
  title={Learning Bilingual Sentiment Word Embeddings for Cross-language Sentiment Classification},
  author={Huiwei Zhou and Long Chen and Fulin Shi and Degen Huang},
  booktitle={ACL},
  year={2015}
}
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
Highly Cited
This paper has 42 citations. REVIEW CITATIONS

From This Paper

Topics from this paper.
28 Citations
33 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 28 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 33 references

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
Highly Influential
2 Excerpts

Similar Papers

Loading similar papers…