COVID-19 pandemic and African innovation: Finding the good from the bad using Twitter data and text mining approach.
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| Title: | COVID-19 pandemic and African innovation: Finding the good from the bad using Twitter data and text mining approach. |
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| Authors: | Asare AO; Professor George Brown College 200 King Street East Toronto Ontario Canada., Sarpong EO; University of Electronics Science and Technology of China No.2006, Xiyuan Avenue. West Hi-Tech. Zone Chengdu P.R. China., Truong Holds N; George Brown College 200 King Street East Toronto Ontario Canada., Osei-Bonsu P; University of Electronic Science and Technology of China No.2006, Xiyuan Avenue West Hi-Tech. Zone Chengdu P.R. China., Ahado S; University of Electronic Science and Technology of China No.2006, Xiyuan Avenue West Hi-Tech. Zone Chengdu P.R. China., Mensah WG; University of Electronic Science and Technology of China No.2006, Xiyuan Avenue West Hi-Tech. Zone Chengdu P.R. China. |
| Source: | International social science journal [Int Soc Sci J] 2022 Nov 30. Date of Electronic Publication: 2022 Nov 30. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Blackwell Publishing Ltd For Unesco Country of Publication: England NLM ID: 0404432 Publication Model: Print-Electronic Cited Medium: Print ISSN: 0020-8701 (Print) Linking ISSN: 00208701 NLM ISO Abbreviation: Int Soc Sci J |
| Database: | MEDLINE Ultimate |
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