Introduction
Text summarization is a method in natural language processing (NLP) of generating a short and precise summary of a reference document. Producing a summary of a large document manually is a very difficult task. Summarization of a text using machine learning techniques is still an active research topic, and references for further reading are provided at the end of the chapter. Before proceeding to discuss text summarization and how we do it, we should define what a summary is. The summary is a text output that is generated from one or more texts that conveys relevant information from the original text in a shorter form. The goal of automatic text summarization is to transform the source text into a shorter version using semantics. Lately, various approaches have been developed for automated text summarization using NLP techniques, and they have been implemented widely in various domains. Some examples include search engines creating summaries for use in previews of documents and...
