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Restaurant review analysis using Natural Language Processing (NLP) involves using computational techniques to analyze and understand customer feedback about restaurants. NLP algorithms can be used to extract meaningful insights from large volumes of reviews, including identifying the sentiment of the reviews, the topics that customers frequently mention, and any specific aspects of the restaurant that customers either praise or criticize. This information can be valuable for restaurant owners and managers, helping them to improve the customer experience and make informed decisions about menu changes or other improvements. Overall, NLP is a powerful tool for understanding customer feedback and improving the overall dining experience.