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- W48810316 abstract "AbstractIn this paper, we investigate how to automatically identify the polarity of relationships between food and disease in biomedical text. In particular, we first analyze the characteristic and challenging of relation polarity analysis, and then propose a general approach, which utilizes background knowledge in terms of word-class association, and refines this information by using domain-specific training data. In addition, we propose several novel learning features. Experimental results on real world datasets show that the proposed approach is effective.KeywordsPolarity AnalysisOpinion MiningSentiment AnalysisLearning FeatureRelation PolarityThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
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- W48810316 date "2012-01-01" @default.
- W48810316 modified "2023-10-02" @default.
- W48810316 title "Healthy or Harmful? Polarity Analysis Applied to Biomedical Entity Relationships" @default.
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- W48810316 doi "https://doi.org/10.1007/978-3-642-32695-0_72" @default.
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