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Mathematically convolution is a grouping formula. An RNN is a more natural approach given that text is naturally sequential. What Is Difference Between Combined Cnn Rnn And 3d Cnn Quora CNNs work best for spatial data and thus is the most suitable option for image and video processing. . This text classification tutorial trains a recurrent neural network on the IMDB large movie review dataset for sentiment analysis. CNNs are feed-forward neural networks that use filters and pooling layers whereas RNNs feed. Facial recognition and Computer vision. Show activity on this post. Both RNN and CNN can be used to solve text classification problems. CNN is considered to be more powerful than ANN RNN. CNN is considered to be more potent than RNN. For this problem itd be a good choice to go with CNN unless 1 improvement in accuracy is important. You need to represent raw text data as numeric vector before training a ...