Análise de sentimento das avaliações do Google Maps em perfis de creches privadas da cidade de Betim: um estudo aplicado.

Abstract

This study addresses the relevance of sentiment analysis in the online evaluation of private nurseries, highlighting its impact on institutional reputation and consumer perception. To this end, data from evaluations on the Google Maps profiles of each institution were collected and analyzed using Power BI software, along with Microsoft Azure's Cognitive Services tool. Sentiment analysis, also known as opinion mining, aims to understand individuals' opinions and feelings on specific subjects. The growing use of online platforms, such as social media and websites, provides people with more opportunities to express their opinions, increasing the demand for techniques that collect and identify these contents and determine the sentiment of users. This study not only conducts this analysis but also offers insights for future research in this continuously evolving field and suggests the application of management and improvement strategies, such as SWOT analysis, based on online evaluations.