This study aims to analyze customer reviews by applying Sentiment Analysis to test the similarity of expectations in airport experiences shared from domestic and international travelers in the 3 top busiest airports in Saudi Arabia and measure the correlation extent of their expectations in each airport. The methodology used to conduct the study was by first collecting customers’ verbatim comments in English and Arabic on the three major airports in Saudi Arabia which are King Khalid Int. Airport in Riyadh, King Abdulaziz Int Airport in Jeddah, and King Fahad Int Airport in Dammam. The existing data is extracted from Skytrax; a prominent airline and airport reviewing website and Twitter, which is the #1 social media platform used in Saudi Arabia. Second, preprocess the data through data cleaning for analysis preparation. Third, run the customers’ verbatim comments database through Sentiment Analysis to identify the favorable and unfavorable services provided by the airports. Finally, stratify the data into clusters based on the outputs of the analysis. The expected outcome of applying SA is to essentially rank the customer’s favorable and unfavorable services based on their verbatim feedback on the website domestic and international travelers.