The rise of big data science: A survey of techniques, methods and approaches in the field of natural language processing and network theory

Jeffrey Ray; Olayinka Johnny; Marcello Trovati; Stelios Sotiriadis; Nik Bessis

doi:10.3390/bdcc2030022

The rise of big data science: A survey of techniques, methods and approaches in the field of natural language processing and network theory

Jeffrey Ray, Olayinka Johnny, Marcello Trovati, Stelios Sotiriadis, Nik Bessis

Research output: Contribution to journal › Article (journal) › peer-review

22 Citations (Scopus)

Abstract

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.

Original language	English
Article number	22
Pages (from-to)	1-18
Number of pages	18
Journal	Big Data and Cognitive Computing
Volume	2
Issue number	3
Early online date	2 Aug 2018
DOIs	https://doi.org/10.3390/bdcc2030022 https://doi.org/10.3390/bdcc2030022
Publication status	Published - 1 Sept 2018

Keywords

Bayesian networks
Big data
Network theory
Nlp
Text mining

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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

Abstract

Keywords

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