Geographical locations of microblog users are essential for user profiling, event localization
and target advertising, to name a few. Automatic identification of user locations from the …

In data analysis, context information plays a significant role in enhancing the quality of the
insight obtained. Furthermore, spatial analysis helps understand spatial relationships …

The automatic classification of Arabic dialects is an ongoing research challenge, which has
been explored in recent work that defines dialects based on increasingly limited geographic …

During a disaster, a large number of disaster-related social media posts are widely
disseminated. Only a small percentage of disaster-related information is posted by …

The estimation of an image geo-site solely based on its contents is a promising task.
Compelling image labelling relies heavily on contextual information, which is not as simple …

Liuzhou is a rich tourism city in China. It is well known for its ethnic and prehistoric culture,
folk songs, rare stones, and urban landscape. The demand of tourism in Liuzhou city is …

Tracking information diffusion is a non-trivial task and it has been widely studied across
different domains and platforms. The advent of social media has led to even more …

Understanding the residents' routine and repetitive behavior patterns is important for city
planners and strategic partners to enact appropriate city management policies. However, the …

Social media user geolocation is to infer users' resident locations based on social media
data, including user texts and social relationships. Existing methods mainly rely on the …

With the emergence of GPS-equipped portable devices and Online Social Networks, geo-
tagged textual data have been highly produced on a continuous basis, which can provide …