Content Analysis of Travel Reviews: Exploring the Needs of Tourists from Different Countries

The inbound tourism industry keeps growing in recent years. Affected by the factors such as education, culture and geographic conditions, people from different countries may have different preferences and attitudes towards tourism products. Thus, it is important to understand the need of people from different countries to develop an effective and targeted promotion and marketing strategy. This research aims to develop a method to extract the needs of tourists from different countries from travel reviews. In this paper, both manual analysis and basic text-mining techniques are used to explore the content of reviews posted by tourists from six different countries, written in English, Japanese and Chinese from TripAdvisor.