Processamento de linguagem natural aplicado à análise de sentimentos em opiniões de usuários

Abstract

Natural Language Processing (NLP) is a field of artificial intelligence that enables interaction between computers and human natural language, whether through audio or text. It is considered a significant and current technological advancement. With the availability of large datasets, there is a growing need to use machine learning to process text and enable systems to understand the sentiments expressed by the author. Through sentiment analysis techniques, these expressions are classified into positive or negative opi- nions. However, this is not an easy task, given the challenges such as different languages, sarcasm, ambiguity, the use of slang and expressions, as well as varying cultural contexts. Therefore, this work focuses on applying sentiment analysis to user opinions about beauty products, using machine learning models for text classification and interpretation.