Abstract：With the rapid development of the Internet, more and more user comments appear on social networking sites. Review quality prediction aims to judge the quality of online reviews. To better build the representation of the text and study the user-based association between the text, this paper proposes a review quality prediction method of constructing the user and text representations based on neural network model. To properly emphasize the role of user information, we further integrate user information based on attention mechanism into the text to improve the effect of review quality prediction. Experiments on Yelp 2013 dataset show that our model can effectively improve the performance of online review quality detection.
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