A survey of location prediction on twitter
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 …
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 …
from social media has developed. We analyse 690 papers across 20 social media platforms …
Geotagging one hundred million twitter accounts with total variation minimization
Geographically annotated social media is extremely valuable for modern information
retrieval. However, when researchers can only access publicly-visible data, one quickly …
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
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 …
tourism planning and management. Numerous studies have been accomplished to analyze …
Location prediction in large-scale social networks: an in-depth benchmarking study
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 …
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 …
flexible methodology for the geotagging of textual big data. The suggested approach …
Using publicly visible social media to build detailed forecasts of civil unrest
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 …
American civil unrest, often many days in advance, by surfacing informative public posts …
Online user location inference exploiting spatiotemporal correlations in social streams
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 …
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 …
society by not only diffusing information, but also forming social ties, norms, and behaviors …
Activity location inference of users based on social relationship
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 …
various activities nearby. The activity locations which are frequently shared with the friends …