《Handling Cold-Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors》阅读笔记

feitianlzk

于 2017-09-06 21:35:33 发布

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分类专栏：科研文章标签： cnn embedding

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Compared with the recurrent neural network (RNN), the CNN can do a better job of modeling the different aspects of a review.

what is global behavioral information the traditional discrete features can not effectively record the global behavioral information
阅读 (Wang et al., 2016).Learning to Represent Review
with Tensor Decomposition for Spam Detection
Ren and Zhang (2016) have proved that the CNN can capture complex global semantic information and detect review spam more effectively, compared with traditional discrete manual features and the RNN model.
阅读Deceptive Opinion Spam Detection Using Neural Network
CNNmodel filter层是否需要activation function
Rating embedding是如何使用的