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Review Helpfulness Prediction with Embedding-Gated CNN
[article]
2018
arXiv
pre-print
Product reviews, in the form of texts dominantly, significantly help consumers finalize their purchasing decisions. Thus, it is important for e-commerce companies to predict review helpfulness to present and recommend reviews in a more informative manner. In this work, we introduce a convolutional neural network model that is able to extract abstract features from multi-granularity representations. Inspired by the fact that different words contribute to the meaning of a sentence differently, we
arXiv:1808.09896v1
fatcat:fvriatmeyncipef27jxvnqsqdi