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                <identifier>oai:data.mendeley.com/c8x5tpvzmk.3</identifier>
                <datestamp>2021-04-28T13:01:56Z</datestamp>
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    <dc:creator id="https://orcid.org/0000-0003-3974-2733">Ogundepo, Ezekiel</dc:creator>
    <dc:title>Location-based Tweets in Africa on COVID-19 Pandemic</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>The dataset describes 826,412 raw tweet posts matching COVID-19 and Lockdown between February 14,  2020, to August 14,  2020, from selected five African countries, including Nigeria, South Africa, Algeria, Egypt Sudan. It was cleaned to comprise 619,203 unique tweets relevant to researchers in data science, natural language processing, social science, informatics, tourism, and infodemiology. </dc:description>
    <dc:subject>Data Science</dc:subject>
    <dc:subject>Coronavirus</dc:subject>
    <dc:subject>COVID-19</dc:subject>
    <dc:contributor id="https://orcid.org/0000-0002-0815-7139">Ogbuju, Emeka </dc:contributor>
    <dc:contributor id="https://orcid.org/0000-0002-5440-7442">Banjo, Oluwatobi </dc:contributor>
    <dc:contributor id="https://orcid.org/0000-0002-7058-8618">Folorunso, Sakinat                                                                                     </dc:contributor>
    <dc:contributor id="https://orcid.org/0000-0003-0584-9145">Oladipo, Francisca </dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/c8x5tpvzmk.3</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/c8x5tpvzmk.3</dc:identifier>
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    <dc:date>2021-04-28T13:01:56Z</dc:date>
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