Kernel-based features for predicting population health indices from geocoded social media data
Version 2 2024-06-06, 02:45Version 2 2024-06-06, 02:45
Version 1 2017-07-27, 13:07Version 1 2017-07-27, 13:07
journal contribution
posted on 2024-06-06, 02:45 authored by Thin NguyenThin Nguyen, ME Larsen, B O'Dea, Duc Thanh NguyenDuc Thanh Nguyen, John YearwoodJohn Yearwood, D Phung, Svetha VenkateshSvetha Venkatesh, H ChristensenKernel-based features for predicting population health indices from geocoded social media data
History
Journal
Decision Support SystemsVolume
102Pagination
22-31Location
Amsterdam, The NetherlandsISSN
0167-9236eISSN
1873-5797Language
EnglishPublication classification
C Journal article, C1 Refereed article in a scholarly journalCopyright notice
2017, Elsevier B.V.Publisher
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Keywords
Science & TechnologyTechnologyComputer Science, Artificial IntelligenceComputer Science, Information SystemsOperations Research & Management ScienceComputer ScienceSpatial decision support systemGeoreferenced social mediaSpatial big dataHealth rankingsTwitterKernel functionVOLUNTEERED GEOGRAPHIC INFORMATIONDECISION-SUPPORT-SYSTEMSENTIMENT ANALYSISTWEETSSURVEILLANCETECHNOLOGYMANAGEMENTFACEBOOKTWITTERSchool of Information Technology4605 Data management and data science
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