The purpose of the article is to identify five world cities’ images by analysing the tourist attractions reviews posted on TripAdvisor. The phenomenological study of content analysis was used: first quantitative, and second qualitative. The analysis of the tourist attractions made it possible to identify their characteristic features and the attributes of the positive and negativeattractions’ image. Additionally, some specific attributes of the surveyed cities’ images were identified. Study limitations include the limited reliability of the opinions published in TripAdvisor and a relatively small research sample.

Key words: content analysis, TextMining, TripAdvisor, destination image, tourist attractions