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Geolocating tweets via spatial inspection of information inferred from tweet meta-fields
Motti Zohar
Department of Geography and Environmental Studies
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peer-review
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Dive into the research topics of 'Geolocating tweets via spatial inspection of information inferred from tweet meta-fields'. Together they form a unique fingerprint.
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Keyphrases
Tweets
100%
Meta-field
100%
Geolocate
100%
Device Location
18%
OpenStreetMap
18%
Geonames
18%
User Location
18%
Israel
9%
Spatial Data
9%
Publicly Available
9%
Twitter
9%
Text Location
9%
Curated Database
9%
Geocoding
9%
Twitter Social Network
9%
Messaging Apps
9%
Actual Device
9%
Geolocation Services
9%
User Description
9%
Geolocated Tweets
9%
IP Address
9%
Computer Science
Inferred Information
100%
Open Street Map
100%
Spatial Information
50%
Transmitting Device
50%
Social Network
50%
Engineering
Geolocation
100%
Spatial Information
100%