Travellers ’ Behaviour Analysis Based on Automatically Identified Attributes from Travel Blog Entries

We propose a method to analyse travellers’ behaviour using automatically identified travellers’ attributes, such as gender and language, from travel blog entries. We consider that travel blog entries are a useful information source for obtaining travel information, because many bloggers’ describe their travel experiences in them. Several studies have analysed travellers’ behaviour using travel blog entries. However, they used a small number of manually identified travellers’ (bloggers’) attributes. In our work, we identify travellers’ attributes automatically using natural language processing techniques, and conduct a large-scale travellers’ behaviour analysis.