Now that we've seen the basic RNN architecture, let's consider how to apply it to three types of NLP tasks: sequence classification tasks like sentiment analysis and topic classification, sequence labeling tasks like part-of-speech tagging, and and text generation tasks. And we'll see in Chapter 10 how to use them for encoder-decoder approaches to summarization, machine translation, and question answering.ling