Summary
In this chapter, you have learned about text summarization and text generation. We also looked at various ways in which text summarization can be performed, such as the use of the TextRank algorithm, the Gensim library, and word frequency models. One approach we looked at during this chapter was the use of Markov chains to perform text generation. In the next chapter, we will learn about how text can be represented as vectors. We will also discuss various vector representations, such as Word2Vec and Doc2Vec, in detail.
