The social networks and the rapid development of new technologies have led to
considerable changes in the tourism industry. Artificial intelligence, in particular natural …

The online store is changing people's shopping behavior. Despite the fact, the potential
customer's distrust in the quality of products and service is one of the online store's …

Cultural heritage is a significant resource of knowledge that allows us to inform about and
enhance such communities in the cultural tourism market. In this respect, it is important to …

Millions of people are connecting and exchanging information on social media platforms,
where interpersonal interactions are constantly being shared. However, due to inaccurate or …

Sentiment analysis of Indonesian hotel reviews: from classical machine learning to deep
learning Page 1 Sentiment analysis of Indonesian hotel reviews: from classical machine …

Analyzing the perception differences and influencing factors of cross-cultural groups in
heritage tourism can help heritage sites to formulate differentiated service and improve …

Presently, individuals generate tremendous volumes of information on the internet. As a
result, sentiment analysis is a critical tool for automating a deep understanding of …

This paper extensively analyzes Twitter data based on a study of tourism in Indonesia. Some
keywords “candi borobudur”,” danau toba”,“gunung bromo”,” pantai kuta”, and “raja ampat” …

Abstrak− Pengelompokan terhadap sentimen positif atau negatif dalam ulasan teks semakin
banyak dilakukan secara otomatis untuk mengidentifikasi. Pemilihan fitur dalam klasifikasi …

Twitter is one of the world's largest social media, reaching 330 million active users every
month. Therefore, conducting sentiment analysis on Twitter should give a representative …