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n Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie - Vergelyking van sentimentanalise-tegnieke vir 'n sosialemedia-grootdatastel : referaatopsomming

Volume 35 Number 1
  • ISSN : 0254-3486
  • E-ISSN: 2222-4173
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Abstract


The performance and resource impact of de facto sentiment analysis techniques have not been thoroughly investigated in parallel and distributed environments. This research aims to address this gap in literature to aid in the application of these techniques for big data research.

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/content/aknat/35/1/EJC196031
2016-01-01
2019-08-26

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