Sentiment Analysis and Its Applications in Assessing Visit Preferences Pre and Post COVID-19: An Indonesian Perspective


Social media has shown to affect tourist activity and spending. However, research related to travel intentions from a large-scale perspective has remained very limited in Indonesia. This research presents an empirical case study using the text mining process on Indonesian domestic tourists’ travel intentions to fill in the missing gap. Text classification was used to categorize whether a tweet includes travel intentions or not by concentrating on tourism-related tweet data from Twitter before and after the COVID-19 pandemic. The process of entity recognition was also used to classify the entities in the Tweet. This study showed that the Indonesian intention to travel was 13.08 percent higher than before the pandemic of COVID-19. Moreover, it was also found that interest in adventure activities increased by 581.25 percent and honeymoon trips by 175 percent. Surprisingly, 92 percent of short-stay intentions concluded in this research. However, Indonesian tourists who want to take a long tour are rising by 215.18 percent. This study’s findings also show Indonesian tourists’ choice to fly to many destinations, such as Bali, the Riau Islands, and Bandung. A more successful Indonesian tourism promotion strategy is expected to develop as a result of this research. Referring to the study findings, it appears that the current model of promotion is relatively distinct from the existing one. The promotional activities that emphasize and focus on 1) sustainable growth, 2) improved productivity, 3) investment innovation and digital transformation, 4) morals, culture, and social responsibility, and 5) technological cooperation has become increasingly important to be incorporated in various programs by The Ministry of Tourism of Indonesia

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