TensorFlow 1.x Deep Learning Cookbook

How it works...

One-dimension ConvNets for sentiment analysis are discussed in detail in the paper Convolutional Neural Networks for Sentence Classification, Yoon Kim, EMNLP 2014 (https://arxiv.org/abs/1408.5882) . Note that the model proposed by the paper retains some pieces of information about the position, thanks to the filter windows operating over consecutive words. The following image extracted from the paper graphically represents the key intuitions beyond the network. At the beginning the text is represented as a vector based on standard embeddings, providing us a compact representation in a one-dimensional dense space. Then the matrix is processed with multiple standard one-dimensional convolutional layers.

Note that the model uses ...