Extractive Text Summarization Methods in the Spanish Language

Abstract

The quantity of information in the world is increasing every day on a fast level. This fact will be an obstacle in some situations; text summarization is involved in this kind of problem. It is used to minimize the time that people spend searching for information on the web and in a lot of digital documents. In this chapter, three algorithms were compared; all of them are an extractive text summarization algorithm. Popular libraries that influence the performance of these kinds of algorithms were used. It was necessary to configure and modify these methods so that they work for the Spanish language instead of their original one. The authors use some metrics found in the literature to evaluate the quality and performance of these algorithms.