Sentiment Analysis of Client Reviews on a French E-Commerce Platform

This research aims to analyze customer reviews on a French e-commerce platform to understand customer perceptions and identify trends. The dataset includes a representative subset of reviews written in French, encompassing a diverse range of products and services. Machine learning techniques, such as recurrent neural networks as well as long short-term memory (LSTM), are used throughout the research to get emotional data via these reviews. The findings will provide valuable insights for businesses looking to improve their products or services by leveraging customer feedback. The research aims to provide valuable insights for businesses seeking to enhance their services.