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This study focuses on the development and training of machine learning models for sentiment analysis on Macedonian restaurant reviews. This is in response to the rise in e-commerce due to the COVID-19 pandemic, which has generated large amounts of data in less commonly spoken languages like Macedonian. Various sentiment analysis models are explored and compared, ranging from classical random forests to modern deep learning techniques and transformers, in order to help businesses better understand customer sentiment and improve their services.