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The Rise of Big Data Science: A Survey of Techniques, Methods and Approaches in the Field of Natural Language Processing and Network Theory

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Department of Computer Science, Edge Hill University, Ormskirk, L39 4QP, UK
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Department of Department of Electronics, Computing and Mathematics, University of Derby, Derby DE22 1GB, UK
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Department of Computer Science and Information Systems, Birkbeck University of London, London WC1E 7HX, UK
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Author to whom correspondence should be addressed.
Big Data Cogn. Comput. 2018, 2(3), 22; https://doi.org/10.3390/bdcc2030022
Received: 30 May 2018 / Revised: 29 July 2018 / Accepted: 31 July 2018 / Published: 2 August 2018
(This article belongs to the Special Issue Big Data and Cognitive Computing: Feature Papers 2018)
The continuous creation of data has posed new research challenges due to its complexity, diversity and volume. Consequently, Big Data has increasingly become a fully recognised scientific field. This article provides an overview of the current research efforts in Big Data science, with particular emphasis on its applications, as well as theoretical foundation. View Full-Text
Keywords: Big Data; text mining; NLP; network theory; Bayesian networks Big Data; text mining; NLP; network theory; Bayesian networks
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Ray, J.; Johnny, O.; Trovati, M.; Sotiriadis, S.; Bessis, N. The Rise of Big Data Science: A Survey of Techniques, Methods and Approaches in the Field of Natural Language Processing and Network Theory. Big Data Cogn. Comput. 2018, 2, 22.

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