Patterns of diverse and changing sentiments towards COVID-19 vaccines: a sentiment analysis study integrating 11 million tweets and surveillance data across over 180 countries. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Andrew_Naidech>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Emily_S._Miller>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Hanyin_Wang>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Leena_B._Mithal>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Meghan_R._Hutch>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Sebastian_Otero>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Yikuan_Li>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Yuan_Luo_0001>
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dc:identifier	DBLP journals/jamia/WangLHKOMMNL23 (xsd:string)
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dcterms:issued	2023 (xsd:gYear)
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rdfs:label	Patterns of diverse and changing sentiments towards COVID-19 vaccines: a sentiment analysis study integrating 11 million tweets and surveillance data across over 180 countries. (xsd:string)
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foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Emily_S._Miller>
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dc:title	Patterns of diverse and changing sentiments towards COVID-19 vaccines: a sentiment analysis study integrating 11 million tweets and surveillance data across over 180 countries. (xsd:string)
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