AUTORESUMO: sistema web para automação de resumos com processamento de linguagem natural

Abstract

This project aims to develop a system that employs techniques from image processing and natural language processing to perform automatic analysis and summarization of scientific articles. The primary goal is to extract the text from the articles, create a structured representation of the content, and generate concise summaries, significantly expediting comprehension and bibliographic review. The tool aims to optimize researchers' time by allowing them to focus on the most relevant parts of the documents and identifying trends and scientific advancements across various fields of knowledge. The study's scope will encompass everything from data collection, through image preprocessing, text extraction, development of the automatic summarization algorithm, to evaluating the achieved results and potential improvements. This project holds the potential to stimulate future developments and research in the realm of scientific information processing, thus contributing to ongoing progress in this field.