Assessment of User Home Location Geoinference Methods
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.
- Research Organization:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (US)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1233336
- Report Number(s):
- PNNL-SA-109086; 400412000
- Country of Publication:
- United States
- Language:
- English
Similar Records
Geotagging one hundred million Twitter accounts with total variation minimization
Facility Detection and Popularity Assessment from Text Classification of Social Media and Crowdsourced Data
Studying Military Community Health, Well-being, and Discourse through the Social Media Lens
Journal Article
·
Wed Oct 01 00:00:00 EDT 2014
·
OSTI ID:1567558
Facility Detection and Popularity Assessment from Text Classification of Social Media and Crowdsourced Data
Conference
·
Sat Oct 01 00:00:00 EDT 2016
·
OSTI ID:1364297
Studying Military Community Health, Well-being, and Discourse through the Social Media Lens
Book
·
Fri Sep 15 00:00:00 EDT 2017
·
OSTI ID:1431410