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Title: Assessment of User Home Location Geoinference Methods

Abstract

This study presents an assessment of multiple approaches to determine the home and/or other important locations to a Twitter user. In this study, we present a unique approach to the problem of geotagged data sparsity in social media when performing geoinferencing tasks. Given the sparsity of explicitly geotagged Twitter data, the ability to perform accurate and reliable user geolocation from a limited number of geotagged posts has proven to be quite useful. In our survey, we have achieved accuracy rates of over 86% in matching Twitter user profile locations with their inferred home locations derived from geotagged posts.

Authors:
; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1233336
Report Number(s):
PNNL-SA-109086
400412000
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: IEEE International Conference on Intelligence and Security Informatics (ISI 2015), May 27-29, 2015, Baltimore, Maryland, 148-150
Country of Publication:
United States
Language:
English

Citation Formats

Harrison, Joshua J., Bell, Eric B., Corley, Courtney D., Dowling, Chase P., and Cowell, Andrew J. Assessment of User Home Location Geoinference Methods. United States: N. p., 2015. Web. doi:10.1109/ISI.2015.7165957.
Harrison, Joshua J., Bell, Eric B., Corley, Courtney D., Dowling, Chase P., & Cowell, Andrew J. Assessment of User Home Location Geoinference Methods. United States. doi:10.1109/ISI.2015.7165957.
Harrison, Joshua J., Bell, Eric B., Corley, Courtney D., Dowling, Chase P., and Cowell, Andrew J. Fri . "Assessment of User Home Location Geoinference Methods". United States. doi:10.1109/ISI.2015.7165957.
@article{osti_1233336,
title = {Assessment of User Home Location Geoinference Methods},
author = {Harrison, Joshua J. and Bell, Eric B. and Corley, Courtney D. and Dowling, Chase P. and Cowell, Andrew J.},
abstractNote = {This study presents an assessment of multiple approaches to determine the home and/or other important locations to a Twitter user. In this study, we present a unique approach to the problem of geotagged data sparsity in social media when performing geoinferencing tasks. Given the sparsity of explicitly geotagged Twitter data, the ability to perform accurate and reliable user geolocation from a limited number of geotagged posts has proven to be quite useful. In our survey, we have achieved accuracy rates of over 86% in matching Twitter user profile locations with their inferred home locations derived from geotagged posts.},
doi = {10.1109/ISI.2015.7165957},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {5}
}

Conference:
Other availability
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