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Cakici et al., 2016 - Google Patents

Extracting location information from crowd-sourced social network data

Cakici et al., 2016

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Document ID
8887624277858729452
Author
Cakici R
Karagoz P
Oguztuzun H
Ozdikis O
Onal K
Sagcan M
Publication year
Publication venue
European handbook of crowdsourced geographic information

External Links

Snippet

With millions of users worldwide, crowd-sourced social media data provide a valuable data source for events happening around the world. More specifically, microblogs, which are social networks that enforce short text messages, have a high popularity due to their …
Continue reading at ubiquitypress.com (PDF) (other versions)

Classifications

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