A survey of location prediction on twitter

X Zheng, J Han, A Sun - IEEE Transactions on Knowledge and …, 2018 - ieeexplore.ieee.org
Locations, eg, countries, states, cities, and point-of-interests, are central to news, emergency
events, and people's daily lives. Automatic identification of locations associated with or …

Mining location from social media: A systematic review

K Stock - Computers, Environment and Urban Systems, 2018 - Elsevier
During the last ten years, a large body of research extracting and analysing geographic data
from social media has developed. We analyse 690 papers across 20 social media platforms …

Geotagging one hundred million twitter accounts with total variation minimization

R Compton, D Jurgens, D Allen - 2014 IEEE international …, 2014 - ieeexplore.ieee.org
Geographically annotated social media is extremely valuable for modern information
retrieval. However, when researchers can only access publicly-visible data, one quickly …

Using volunteered geographic information and nighttime light remote sensing data to identify tourism areas of interest

B Devkota, H Miyazaki, A Witayangkurn, SM Kim - Sustainability, 2019 - mdpi.com
Easy, economical, and near-real-time identification of tourism areas of interest is useful for
tourism planning and management. Numerous studies have been accomplished to analyze …

Location prediction in large-scale social networks: an in-depth benchmarking study

N Al Hasan Haldar, J Li, M Reynolds, T Sellis, JX Yu - The VLDB Journal, 2019 - Springer
Location details of social users are important in diverse applications ranging from news
recommendation systems to disaster management. However, user location is not easy to …

Geolocation predicting of tweets using bert-based models

K Lutsai, CH Lampert - arXiv preprint arXiv:2303.07865, 2023 - arxiv.org
This research is aimed to solve the tweet/user geolocation prediction task and provide a
flexible methodology for the geotagging of textual big data. The suggested approach …

Using publicly visible social media to build detailed forecasts of civil unrest

R Compton, C Lee, J Xu, L Artieda-Moncada, TC Lu… - Security …, 2014 - Springer
We demonstrate how one can generate predictions for several thousand incidents of Latin
American civil unrest, often many days in advance, by surfacing informative public posts …

Online user location inference exploiting spatiotemporal correlations in social streams

Y Yamaguchi, T Amagasa, H Kitagawa… - Proceedings of the 23rd …, 2014 - dl.acm.org
The location profiles of social media users are valuable for various applications, such as
marketing and real-world analysis. As most users do not disclose their home locations, the …

Modeling and visualizing semantic and spatio-temporal evolution of topics in interpersonal communication on Twitter

C Koylu - International Journal of Geographical Information …, 2019 - Taylor & Francis
Interpersonal communication on online social networks has a significant impact on the
society by not only diffusing information, but also forming social ties, norms, and behaviors …

Activity location inference of users based on social relationship

NAH Haldar, M Reynolds, Q Shao, C Paris, J Li… - World Wide Web, 2021 - Springer
Users in social networks often form relationships with other users who participate together in
various activities nearby. The activity locations which are frequently shared with the friends …