Contextual and Position-Aware Factorization Machines for Sentiment Classification

    arXiv: Computation and Language, Volume abs/1801.06172, 2018.

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    Abstract:

    While existing machine learning models have achieved great success for sentiment classification, they typically do not explicitly capture sentiment-oriented word interaction, which can lead to poor results for fine-grained analysis at the snippet level (a phrase or sentence). Factorization Machine provides a possible approach to learning ...More

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