Restaurant Review

Restaurant review analysis uses natural language processing to understand customer feedback, aiming to extract sentiment, identify key aspects (e.g., food quality, service), and uncover implicit biases. Current research focuses on aspect-based sentiment analysis, employing various machine learning models including deep learning architectures like BERT and recurrent neural networks, to improve accuracy and address challenges like detecting atypical aspects and mitigating biases in language models. This research is significant for businesses seeking to improve customer satisfaction and operational efficiency, and for the broader scientific community by advancing techniques in natural language understanding and bias detection within large datasets.