Abstract—In the modern world, technology has a big impact on travel and tourism. Sentiment analysis is viewed as a classification task because it divides a text's orientation into positive and negativecategories.To assess feedback and survey responses, online and social media content, and healthcare materials, sentiment analysis is commonly used in marketing,customer service, clinical medicine, and other areas. This article presents experimental results using Support Vector Machine (SVM) on benchmark datasets to build a sentiment classifier.When you read customer reviews, youcan see right away if a touristis satisfied or dissatisfied.