Aplicações de técnicas de processamento de linguagem natural no direito e na comunicação

Abstract

Natural Language Processing (NLP) is an area whose applications can be applied across several work fields. A computer’s ability to understand natural languages can be used for a wide range of everyday applications: Chatbots for customer service, GPS with voice commands, document summaries and analysis, automatic translation, and many others. The goal of this work is to demonstrate examples of applications of NLP techniques in a multidisciplinary context, specifically in Law and Communication. The contributions described in this work include: An Extraction Transform Load (ETL) tool for downloading legal decisions from the websites of the Brazilian Supreme Court (STF) and the Supreme Court of Justice (STJ), a model capable of automatically labeling court rulings, a tool that allows visualize legal documents related to court rulings based on their content, and a minimum viable product (MVP) that applies generative artificial intelligence to content analysis for communication professionals. With this work, it was concluded that NLP and machine learning techniques contribute to efficient document analysis, however, in the case of analyses generated with generative artificial intelligence, it is important that the responsible professional knows how to verify the data generated, since the models do not verify the veracity of the facts.