Text Summarization and Topic Models

Abstract

We have come quite a long way in our journey through the world of text analytics and natural language processing. You have seen how to process and annotate textual data for various applications. We also looked at state-of-the-art text representation methods with feature engineering. We also ventured into the world of machine learning and built our own multi-class text classification system by leveraging various feature extraction techniques and supervised machine learning algorithms. In this chapter, we tackle a slightly different problem in the world of text analytics—information summarization.