In this segment, let’s look at how you could have framed the poblem in a different way.
Remember, it is really hard to model the stock market data accurately using news. The main lesson for you to take away from this session should be how to use a one-dimensional convolutional neural network and a recurrent neural network on various text data related problems. The CNN-RNN is a really powerful model and is used in a lot of industrial applications.
The key takeaways from this session are:
- You learnt how to frame a textual supervised learning problem and prepare the data according to it.
- You learnt the process of convolving over text and feeding the results to an RNN.
- Finally, you learnt how to build a CNN-RNN model in Keras.
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