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This case investigates the Italian restaurant sector from a reputation management perspective based on online reviews received by the businesses. To achieve this, the project involves a complex process, from building the dataset through web scraping from the TripAdvisor platform to the implementation of various data analysis techniques on the collected data. The study encompasses a sample of restaurants located in Italy's regional capitals, with the aim of providing nationwide coverage. The ambition of the analyses performed is to harness structured data related to the descriptive information of the establishments available on the platform, as well as unstructured data, namely, the title and text of the reviews received by each business. To tap into the information in textual data, the central step of the study focused on applying major Natural Language Processing (NLP) methodologies for text mining, such as Sentiment Analysis and Topic Analysis. The overall goal guiding the entire project at every stage of its development is to understand the most important factors in determining a restaurant's overall rating on the platform.