Automatic Generation of Abstracts in Scientific Articles Based on Natural Language Processing for Early Education Professionals and Speech Therapists

Abstract

Currently, millions of articles are generated around the world on different topics or areas and published in different scientific databases. Generally, access to this repository uses search tools based on keywords that generate a list of results where sequential access is applied to generate an understanding that involves a great effort of search, classification, and selection of scientific articles within an area or specific topic. That is why, in this work, an intelligent computer system is presented that allows us to automatically obtain summaries of articles based on search keywords, which is ordered hierarchically according to the content belonging to the search keywords. Finally, this work is aimed at speech therapists and initial educators so they can have new information about tools, new trends, applications, methodologies, etc. and in turn be supportive or helpful in classrooms or speech therapies.