A DATASET OF LOCATION-BASED TWEETS IN AFRICA ON COVID-19 OUTBREAK

Emeka Ogbuju (), Oluwatobi Banjo (), Ezekiel Adebayo Ogundepo (), Sakinat Folorunso () and Francisca Oladipo ()
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Emeka Ogbuju: Federal University Lokoja, Nigeria
Oluwatobi Banjo: Olabisi Onabanjo University, Nigeria
Ezekiel Adebayo Ogundepo: Data Science Nigeria
Sakinat Folorunso: Olabisi Onabanjo University, Nigeria
Francisca Oladipo: Federal University Lokoja, Nigeria

Journal of Information Systems & Operations Management, 2022, vol. 16, issue 1, 200-208

Abstract: Twitter has proven to be a ready venue for democratizing opinion data even during the COVID-19 pandemic. During the protracted periods of the resultant lockdown, access to the internet allowed citizens of various nations and government agencies to express their opinions online using their Twitter handles. In this data article, a collection of 619,203 tweets posts were provided on COVID-19 in some selected countries in Africa. This data was collected over 180 days, from February 14, 2020, to August 14, 2020. This dataset can attract researchers' attention related to different fields of knowledge such as data science, natural language processing, social science, informatics, tourism, and infodemiology

Date: 2022
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