Towards Personalized Summaries in Spanish based on Learning Styles Theory

Abstract

Today, advances in information technologies have generated perhaps the largest and fasted exponential growing of electronic texts. On the Internet there are many electronic documents, such as books, technical documents, news articles, blogs, chats, emails and many other digital files. As a result, a user who wants to read and understand this information in a short time will find it a hard task. In this paper, we have conducted an important work in automatic text summarization. Also, we have considered the particular needs of readers. Thus, a model for personalized summarization base on learning styles theory is proposed.