Abstract
Today, the amount and variety of data produced have become more complex from the expansion of new services and new means to produce and share content. Large datasets from different sources and of different types are very helpful to analytics. This has given rise to the concept of Big Data Analytics. This paper focuses on the work done to develop a Big Data Analytics solution for a group of psychologists, whereby the source of data is social network posts. It gives an overview of the proposed life cycle used for the development of the solution and also explains each step through the implementation of the Big Data Analytics solution.
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Muthy, S., Sookram, T., Gobin-Rahimbux, B. (2019). Big Data Analytics Life cycle for Social Networks’ Posts. In: Satapathy, S., Bhateja, V., Somanah, R., Yang, XS., Senkerik, R. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 863. Springer, Singapore. https://doi.org/10.1007/978-981-13-3338-5_35
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DOI: https://doi.org/10.1007/978-981-13-3338-5_35
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