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{{Publikation Details
 
{{Publikation Details
 
|Abstract=This poster focuses on a visual analysis of the tweets related to European migration crisis. It uses TweetsKB as a starting point and then formulates a search criteria for extracting tweets by enriching se- mantic entities and hashtags starting from the seed word “Refugee”. It combines European migration statistics with the information obtained by the tweets and provides visual analysis from different perspectives.
 
|Abstract=This poster focuses on a visual analysis of the tweets related to European migration crisis. It uses TweetsKB as a starting point and then formulates a search criteria for extracting tweets by enriching se- mantic entities and hashtags starting from the seed word “Refugee”. It combines European migration statistics with the information obtained by the tweets and provides visual analysis from different perspectives.
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|Download=paper514.pdf
 
|Link=http://ceur-ws.org/Vol-2721/paper514.pdf
 
|Link=http://ceur-ws.org/Vol-2721/paper514.pdf
 
|Forschungsgruppe=Information Service Engineering
 
|Forschungsgruppe=Information Service Engineering
 
}}
 
}}

Aktuelle Version vom 17. November 2022, 08:54 Uhr


MigrAnalytics: Entity-based Analytics of Migration Tweets


MigrAnalytics: Entity-based Analytics of Migration Tweets



Published: 2020 November

Buchtitel: Proceedings of Poster and Demo Track International Conference on Semantic Web
Ausgabe: 2721
Seiten: 74-79
Verlag: CEUR-WS.org

Nicht-referierte Veröffentlichung

BibTeX

Kurzfassung
This poster focuses on a visual analysis of the tweets related to European migration crisis. It uses TweetsKB as a starting point and then formulates a search criteria for extracting tweets by enriching se- mantic entities and hashtags starting from the seed word “Refugee”. It combines European migration statistics with the information obtained by the tweets and provides visual analysis from different perspectives.

Download: Media:paper514.pdf
Weitere Informationen unter: Link



Forschungsgruppe

Information Service Engineering


Forschungsgebiet