7. Text Generation and Summarization
Overview
This chapter begins with the concept of text generation using Markov chains, before moving on to two types of text summarization—namely, abstractive and extractive summarization. You will then explore the TextRank algorithm and use it with different datasets. By the end of this chapter, you will understand the applications and challenges of text generation and summarization using Natural Language Processing (NLP) approaches.