This project focuses on sentiment analysis, employing two distinct methodologies for enhanced accuracy and insight: a Naive Bayes Classifier and a neural network model. This dual-approach aims to harness the strengths of both machine learning techniques to provide a comprehensive analysis of sentiment in textual data. - View it on GitHub