Wint Nyein Chan1, Thandar Thein2
Computer Systems Science and Engineering, Vol.33, No.3, pp. 187-202, 2018, DOI:10.32604/csse.2018.33.187
Abstract Nowadays, Big Data, a large volume of both structured and unstructured data, is generated from Social Media. Social Media are powerful marketing tools
and social big data can offer the business insights. The major challenge facing social big data is attaining efficient techniques to collect a large volume of
social data and extract insights from the huge amount of collected data. Sentiment Analysis of social big data can provide business insights by extracting
the public opinions. The traditional analytic platforms need to be scaled up for analyzing a large volume of social big data. Social data are by nature
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