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International Journal of Digital Earth Volume 14, 2021 - Issue 11
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Articles

Geographic context-aware text mining: enhance social media message classification for situational awareness by integrating spatial and temporal features

Christopher Scheelea Spatial Computing and Data Mining Lab, Department of Geography, University of Wisconsin-Madison, Madison, WI, USAView further author information
,
Manzhu Yub Department of Geography, Pennsylvania State University, University Park, PA, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-6769-7517View further author information
ORCID Icon &
Qunying Huanga Spatial Computing and Data Mining Lab, Department of Geography, University of Wisconsin-Madison, Madison, WI, USACorrespondence[email protected]
View further author information
Pages 1721-1743 | Received 03 Apr 2021, Accepted 10 Aug 2021, Published online: 20 Aug 2021

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Yingjie Hu, Gengchen Mai, Chris Cundy, Kristy Choi, Ni Lao, Wei Liu, Gaurish Lakhanpal, Ryan Zhenqi Zhou & Kenneth Joseph. (2023) Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages. International Journal of Geographical Information Science 37:11, pages 2289-2318.
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Yulin Ding, Daiyu Shang, Tingchen Wu, Qing Zhu, Liguo Zhang & Yongxin Guo. (2023) An adaptive LIC based geographic flow field visualization method by means of rotation distance. International Journal of Digital Earth 16:1, pages 891-909.
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Articles from other publishers (3)

Robert Szczepanek. (2023) A Deep Learning Model of Spatial Distance and Named Entity Recognition (SD-NER) for Flood Mark Text Classification. Water 15:6, pages 1197.
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Shu Wang, Xinrong Yan, Yunqiang Zhu, Jia Song, Kai Sun, Weirong Li, Lei Hu, Yanmin Qi & Huiyao Xu. (2022) New Era for Geo-Parsing to Obtain Actual Locations: A Novel Toponym Correction Method Based on Remote Sensing Images. Remote Sensing 14:19, pages 4725.
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Xuehua Han & Juanle Wang. (2022) Modelling and Analyzing the Semantic Evolution of Social Media User Behaviors during Disaster Events: A Case Study of COVID-19. ISPRS International Journal of Geo-Information 11:7, pages 373.
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