Convolutional Neural Networks for Sentence Classification

Convolutional layer with multiple filter widths and feature maps Max -over -time pooling Fully connected layer with dropout and softmax output Figure 1: Model architecture with two channels for an example sentence. necessary) is represented as x 1: n = x 1 x 2::: x n; (1) is the concatenation operator. In gen-

  Network, Classification, Sentences, Fully, Neural, Convolutional, Convolutional neural networks for sentence classification