Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices

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posted on 2024-06-06, 10:12 authored by Thin NguyenThin Nguyen, M Larsen, B O'Dea, H Nguyen, Duc Thanh NguyenDuc Thanh Nguyen, John YearwoodJohn Yearwood, D Phung, Svetha VenkateshSvetha Venkatesh, H Christensen

Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices

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DOI - Is version of https://doi.org/10.1016/j.future.2018.01.014

Location

Amsterdam, The Netherlands

Language

English

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2018, Elsevier

Journal

Future Generation Computer Systems

Volume

110

Pagination

620-628

ISSN

0167-739X

eISSN

1872-7115

Publisher

ELSEVIER

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Categories

Keywords

Science & Technology Technology Computer Science, Theory & Methods Computer Science Mining spatial and temporal data Statistical features Spatio-temporal features Cluster computing Large-scale parallel and distributed implementation Apache Spark 4601 Applied computing

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All Rights Reserved

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