Recent years have witnessed an exponential growth of data that link geographic locations with natural language texts (geo-text data for short). Examples include geotagged tweets, geotagged Wikipedia articles, as well as news articles and online reviews that contain place names. These geo-text data offer unique opportunities for discovering a variety of knowledge. In this webinar, I present three studies that discover different knowledge by analyzing three types of geo-text data. The discovered knowledge can support disaster response, urban planning, and other applications that benefit our society.

Presenter:  Yingjie Hu, University at Buffalo.

This is a UCGIS Members-Only presentation. Click here to confirm that your institution is a UCGIS member, then register for the webinar at https://attendee.gotowebinar.com/register/5619328348145473537.  Registrations by individuals at non-member institutions will only be permitted on a space-available basis.