Uso das plataformas de linguagem natural como ferramentas na indexação de arquivos digitais

Abstract

This study aims to identify the Natural Language platforms as tools in the management of Digital Archives, on the competencies of Artificial Intelligence (AI), and how this usage can complement, requalify or replace human workforce in Archives. We present the results of the bibliographic survey, with a time frame of 2020-2023. It was found that the use of AI performed through functionalities such as Machine Learning and Deep Learning, aligned with the processes used in Archival Science concerning archival management, contributes to the stages of automated document classification, identification of sensitive information, automatic indexing, information retrieval, digitization, cataloging, appraisal, as well as document selection, in accordance with archival norms and legislation when operated for this purpose. The results indicate that natural language processing platforms (NLP) will change archival operations.