Social data: Biases, methodological pitfalls, and ethical boundaries
Social data in digital form—including user-generated content, expressed or implicit relations
between people, and behavioral traces—are at the core of popular applications and …
between people, and behavioral traces—are at the core of popular applications and …
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 …
Venue link detection for social media messages
A method associates social media messages with venues. A social network graph includes
users, messages from users, and venues. The venues include multiple primary venues and …
users, messages from users, and venues. The venues include multiple primary venues and …
Location reference recognition from texts: A survey and comparison
A vast amount of location information exists in unstructured texts, such as social media
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …
Location reference identification from tweets during emergencies: A deep learning approach
Twitter is recently being used during crises to communicate with officials and provide rescue
and relief operation in real time. The geographical location information of the event, as well …
and relief operation in real time. The geographical location information of the event, as well …
A survey of location inference techniques on Twitter
The increasing popularity of the social networking service, Twitter, has made it more
involved in day-to-day communications, strengthening social relationships and information …
involved in day-to-day communications, strengthening social relationships and information …
GazPNE2: A general place name extractor for microblogs fusing gazetteers and pretrained transformer models
The concept of “human as sensors” defines a new sensing model, in which humans act as
sensors by contributing their observations, perceptions, and sensations. This is crucial for …
sensors by contributing their observations, perceptions, and sensations. This is crucial for …
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 …
Location extraction from tweets
Five hundred million tweets are posted daily, making Twitter a major social media platform
from which topical information on events can be extracted. These events are represented by …
from which topical information on events can be extracted. These events are represented by …
[HTML][HTML] IDRISI-RE: A generalizable dataset with benchmarks for location mention recognition on disaster tweets
While utilizing Twitter data for crisis management is of interest to different response
authorities, a critical challenge that hinders the utilization of such data is the scarcity of …
authorities, a critical challenge that hinders the utilization of such data is the scarcity of …