Now, let's recap the basic concepts of RNNs and also talk about them in the context of the sentiment analysis application. As we mentioned in the RNN chapter, the basic building block of a RNN is a recurrent unit, as shown in this figure:
Figure 2: An abstract idea of an RNN unit
This figure is an abstraction of what goes on inside the recurrent unit. What we have here is the input, so this would be a word, for example, good. Of course, it has to be converted to embedding vectors. However, we will ignore that for now. Also, this unit has a kind of memory state, and depending on the contents of this State
