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| + | |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. | ||
|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 | ||
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Version vom 17. November 2022, 08:51 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.
Weitere Informationen unter: Link
Forschungsgruppe
Information Service Engineering
Forschungsgebiet