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Title: Twitter Geolocation: A Hybrid Approach

Authors:
 [1];  [1];  [1];  [2];  [2]
+ Show Author Affiliations
  1. North Carolina State Univ., Raleigh, NC (United States). Statistics Dept.
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
North Carolina State University, Raleigh, NC (United States); Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA), Office of Nonproliferation and Verification Research and Development (NA-22); National Science Foundation (NSF)
OSTI Identifier:
1438417
Alternate Identifier(s):
OSTI ID: 1467267
Report Number(s):
LA-UR-24700
Journal ID: ISSN 1556-4681
Grant/Contract Number:  
NA0002576; DGE-1633587; AC52-06NA25396
Resource Type:
Accepted Manuscript
Journal Name:
ACM Transactions on Knowledge Discovery from Data
Additional Journal Information:
Journal Volume: 12; Journal Issue: 3; Journal ID: ISSN 1556-4681
Publisher:
Association for Computing Machinery
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; Twitter; Geotag; Gaussian mixture model; simple accuracy error; comprehensive accuracy error; prediction region area

Citation Formats

Bakerman, Jordan, Pazdernik, Karl, Wilson, Alyson, Fairchild, Geoffrey, and Bahran, Rian. Twitter Geolocation: A Hybrid Approach. United States: N. p., 2018. Web. doi:10.1145/3178112.
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Bakerman, Jordan, Pazdernik, Karl, Wilson, Alyson, Fairchild, Geoffrey, & Bahran, Rian. Twitter Geolocation: A Hybrid Approach. United States. https://doi.org/10.1145/3178112
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Bakerman, Jordan, Pazdernik, Karl, Wilson, Alyson, Fairchild, Geoffrey, and Bahran, Rian. Fri . "Twitter Geolocation: A Hybrid Approach". United States. https://doi.org/10.1145/3178112. https://www.osti.gov/servlets/purl/1438417.
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@article{osti_1438417,
title = {Twitter Geolocation: A Hybrid Approach},
author = {Bakerman, Jordan and Pazdernik, Karl and Wilson, Alyson and Fairchild, Geoffrey and Bahran, Rian},
abstractNote = {},
doi = {10.1145/3178112},
journal = {ACM Transactions on Knowledge Discovery from Data},
number = 3,
volume = 12,
place = {United States},
year = {Fri Mar 23 00:00:00 EDT 2018},
month = {Fri Mar 23 00:00:00 EDT 2018}
}
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Publisher's Version of Record
https://doi.org/10.1145/3178112
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Cited by: 18 works
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Works referenced in this record:

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    Works referencing / citing this record:

    A Statistical Approach for Studying the Spatio-Temporal Distribution of Geolocated Tweets in Urban Environments
    journal, January 2019

    • Santa, Fernando; Henriques, Roberto; Torres-Sospedra, Joaquín
    • Sustainability, Vol. 11, Issue 3
    • DOI: 10.3390/su11030595

    A multilayer recognition model for twitter user geolocation
    journal, January 2019

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