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Cross-Language Opinion Lexicon Extraction Using Mutual-Reinforcement Label Propagation

Author

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  • Zheng Lin
  • Songbo Tan
  • Yue Liu
  • Xueqi Cheng
  • Xueke Xu

Abstract

There is a growing interest in automatically building opinion lexicon from sources such as product reviews. Most of these methods depend on abundant external resources such as WordNet, which limits the applicability of these methods. Unsupervised or semi-supervised learning provides an optional solution to multilingual opinion lexicon extraction. However, the datasets are imbalanced in different languages. For some languages, the high-quality corpora are scarce or hard to obtain, which limits the research progress. To solve the above problems, we explore a mutual-reinforcement label propagation framework. First, for each language, a label propagation algorithm is applied to a word relation graph, and then a bilingual dictionary is used as a bridge to transfer information between two languages. A key advantage of this model is its ability to make two languages learn from each other and boost each other. The experimental results show that the proposed approach outperforms baseline significantly.

Suggested Citation

  • Zheng Lin & Songbo Tan & Yue Liu & Xueqi Cheng & Xueke Xu, 2013. "Cross-Language Opinion Lexicon Extraction Using Mutual-Reinforcement Label Propagation," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-11, November.
  • Handle: RePEc:plo:pone00:0079294
    DOI: 10.1371/journal.pone.0079294
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    References listed on IDEAS

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    1. Toshi H. Arimura, Shanjun Li, Richard G. Newell, and Karen Palmer, 2012. "Cost-Effectiveness of Electricity Energy Efficiency Programs," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    2. Anna Chmiel & Julian Sienkiewicz & Mike Thelwall & Georgios Paltoglou & Kevan Buckley & Arvid Kappas & Janusz A Hołyst, 2011. "Collective Emotions Online and Their Influence on Community Life," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-8, July.
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    Cited by:

    1. Sattam Almatarneh & Pablo Gamallo, 2018. "A lexicon based method to search for extreme opinions," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-19, May.

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