dc.date.accessioned |
2023-11-03 |
en |
dc.date.accessioned |
2023-12-06T13:02:03Z |
|
dc.date.available |
2023-12-06T13:02:03Z |
|
dc.date.issued |
2023-11-06 |
en |
dc.identifier.uri |
http://hdl.handle.net/20.500.11910/22689
|
|
dc.description |
Paper presented at the HSRC Research Conference: "Next Generation Insights on Intractable National and Global Challenges", Cape Town, 18-20 September |
en |
dc.format.medium |
Print |
en |
dc.subject |
DATA |
en |
dc.subject |
TWITTER |
en |
dc.subject |
DATA MINING |
en |
dc.subject |
HAMANSKRAAL |
en |
dc.title |
Twitter data mining and sentiment analysis of cholera outbreak: Hammanskraal case study |
en |
dc.type |
Conference or seminar paper |
en |
dc.description.version |
N/A |
en |
dc.ProjectNumber |
N/A |
en |
dc.BudgetYear |
2023/24 |
en |
dc.ResearchGroup |
Deputy CEO: Research |
en |
dc.ArchiveNumber |
9814108 |
en |
dc.URL |
http://ktree.hsrc.ac.za/doc_read_all.php?docid=27860 |
en |
dc.outputnumber |
14765 |
en |
dc.bibliographictitle |
Fundisi, E. (2023) Twitter data mining and sentiment analysis of cholera outbreak: Hammanskraal case study. (Paper presented at the HSRC Research Conference: "Next Generation Insights on Intractable National and Global Challenges", Cape Town, 18-20 September). http://hdl.handle.net/20.500.11910/22689 |
en |
dc.publicationyear |
2023 |
en |
dc.contributor.author1 |
Fundisi, E. |
en |