ANALISIS SENTIMEN PUBLIK TERHADAP PARIWISATA LABUAN BAJO PADA APLIKASI X MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK

Tourism is a travel activity that involves visitors on holiday outside their daily environment, providing entertainment and satisfaction. As stated in Law No. 10 of 2009, tourism carries out various activities that are disabled by public services and the government. Labuan Bajo, as one of Indonesia's leading tourist destinations, has experienced a surge in tourist visits, which can cause social problems. This research examines public sentiment analysis regarding Labuan Bajo tourism via the X social media platform, using the CNN method with a dataset of
2985 tweets. This research finds that the CNN model is able to extract complex patterns in text, producing the best accuracy of 71%. The findings of the analysis show that there is a correlation between word length and the use of abbreviations in tweets on sentiment accuracy. It is hoped that this will provide relief for the government and stakeholders in developing more sustainable tourism in Labuan Bajo