On Wednesday, October 21, 2020, the UCSB forum on spatial technology presents

Advancing Spatial and Textual Analysis with GeoAI


Yingjie Hu

University of Buffalo

11:30 a.m. Wednesday, October 21, 2020 | Zoom*


A rich amount of geographic information exists in unstructured texts, such as news articles, web pages, historical archives, and social media posts. Geoparsers are useful tools that extract location mentions from unstructured texts, thereby enabling spatial analysis of big textual data. In this talk, I will present our recent work in designing a unified platform for comparing geoparsers and building a deep learning-based model for improving toponym recognition from social media messages.


Yingjie Hu is an Assistant Professor in the Department of Geography at the University at Buffalo (UB) and the National Center for Geographic Information and Analysis (NCGIA). He develops and applies spatial analysis, data mining, machine learning, and deep learning methods to address various geospatial problems in disaster response, public health, urban planning, and digital humanities. He received his Ph.D. from the Department of Geography at the University of California, Santa Barbara, and is an alumnus of the STKO Lab. He holds M.S. and B.S. degrees from East China Normal University. Hu is the author of over 50 peer-reviewed articles in top journals and conferences. He is passionate about teaching and conducting research on GIScience.


The objectives of the Spatial Technology presentations are to exchange ideas and promote discussion and interaction within the spatial technology community

Please contact Karen Doehner, kdoehner@spatial.ucsb.edu or Emmanuel Papadakis epd@ucsb.edu, to review and schedule possible discussion topics or presentations that share your disciplinary interest in spatial technologies.

*This talk is a part of the spatial series Knowledge Representation and GeoHumanities; upon registration, you can access all the talks of the series using the provided link.

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SpatialTech: Yingjie Hu