A novel textual data augmentation method for identifying comparative text from user-generated content

Electronic Commerce Research and Applications(2022)

引用 3|浏览27
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摘要
•A framework is proposed for comparative text identification from user-generated content.•A syntax-aware and sentiment polarity-aware text augmentation method is proposed.•A series of experiments verify the feasibility and effectiveness of the framework.
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关键词
Deep learning,Textual data augmentation,Substitute word generation,Comparative text identification
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