WebCrawler integrado ao ChatGPT para análise de sentimentos de clientes em marketplaces

Abstract

This article presents the effective integration of WebCrawler with the ChatGPT API to perform sentiment analysis on customer reviews on marketplace platforms. While data extraction through Web Crawlers and sentiment analysis in online environments are increasingly popular topics, this study stands out by focusing on the specific application to marketplaces. In addition to detailing the methodology used, including data collection and organization, the article emphasizes the importance of understanding customer sentiments and preferences for business success. By exploring the emotional valence of texts, classifying them as positive, negative, or neutral, the research aims to contribute not only to understanding the sentiment expressed in marketplace reviews but also to evaluating the performance and understanding of artificial intelligence when applied to user comments. This study is expected to provide valuable insights for areas such as marketing, advertising, public opinion analysis, and market trend forecasting.