| Knowledge4COVID-19

Property	Value
is ?:annotates of	<https://research.tib.eu/covid-19/entity/33449904_HAS_TOPIC_C0012652> <https://research.tib.eu/covid-19/entity/33449904_HAS_TOPIC_C0023981> <https://research.tib.eu/covid-19/entity/33449904_HAS_TOPIC_C0027489> <https://research.tib.eu/covid-19/entity/33449904_HAS_TOPIC_C0037817> <https://research.tib.eu/covid-19/entity/33449904_HAS_TOPIC_C0041703> <https://research.tib.eu/covid-19/entity/33449904_HAS_TOPIC_C0086418> <https://research.tib.eu/covid-19/entity/33449904_HAS_TOPIC_C0086569> <https://research.tib.eu/covid-19/entity/33449904_HAS_TOPIC_C0392359> <https://research.tib.eu/covid-19/entity/33449904_HAS_TOPIC_C2700446> <https://research.tib.eu/covid-19/entity/33449904_HAS_TOPIC_C2930421> <https://research.tib.eu/covid-19/entity/33449904_HAS_TOPIC_C2936193> <https://research.tib.eu/covid-19/entity/33449904_HAS_TOPIC_C3179065> <https://research.tib.eu/covid-19/entity/33449904_HAS_TOPIC_C3849997> <https://research.tib.eu/covid-19/entity/33449904_HAS_TOPIC_C4300305> <https://research.tib.eu/covid-19/entity/33449904_HAS_TOPIC_C4704892> <https://research.tib.eu/covid-19/entity/33449904_HAS_TOPIC_C4704893> <https://research.tib.eu/covid-19/entity/33449904_HAS_TOPIC_C4704894> <https://research.tib.eu/covid-19/entity/33449904_HAS_TOPIC_C4704895> <https://research.tib.eu/covid-19/entity/33449904_HAS_TOPIC_C5203670> <https://research.tib.eu/covid-19/entity/33449904_HAS_TOPIC_C5203676> <https://research.tib.eu/covid-19/entity/33449904_HAS_TOPIC_C5392141>
?:authorAffiliation	[\'Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.\']
?:citedBy	-1
?:creator	<https://research.tib.eu/covid-19/entity/Flores_Amaro_Jesus_Ivan> <https://research.tib.eu/covid-19/entity/Gonzalez_Hernandez_Graciela> <https://research.tib.eu/covid-19/entity/Klein_Ari_Z> <https://research.tib.eu/covid-19/entity/Magge_Arjun> <https://research.tib.eu/covid-19/entity/O%27Connor_Karen> <https://research.tib.eu/covid-19/entity/Weissenbacher_Davy>
?:doi	10.2196/25314
?:doi	<https://research.tib.eu/covid-19/entity/10.2196/25314>
?:hasPublicationType	<https://research.tib.eu/covid-19/entity/Journal_Article>
?:journal	Journal of medical Internet research
is ?:pmid of	<https://research.tib.eu/covid-19/entity/33449904>
?:pmid	<https://research.tib.eu/covid-19/entity/33449904>
?:pmid	33449904
?:publication_isRelatedTo_Disease	<https://research.tib.eu/covid-19/entity/Covid-19>
?:rankingScore_SJR	2.112
?:rankingScore_hIndex	102
?:title	Toward Using Twitter for Tracking COVID-19: A Natural Language Processing Pipeline and Exploratory Data Set.
?:type	<https://research.tib.eu/covid-19/vocab/Publication> <https://research.tib.eu/covid-19/vocab/Publication_Author>
?:year	2021

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