Sentiment Analysis Using KNIME: A Systematic Literature Review of Big Data Logistics

Graham, G orcid.org/0000-0002-9908-4974 and Meriton, R (Accepted: 2016) Sentiment Analysis Using KNIME: A Systematic Literature Review of Big Data Logistics. In: UNSPECIFIED EMERGING 2016: The Eighth International Conference on Emerging Networks and Systems Intelligence, 09 Oct - 13 Sep 2016, Venice, Italy. . (In Press)

Abstract

Metadata

Authors/Creators:
Keywords: Big data, logistics, sentiment analysis, KNIME, text analytics.
Dates:
  • Accepted: 10 September 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Business (Leeds)
The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) > Logistics, Info, Ops and Networks (LION) (LUBS)
Depositing User: Symplectic Publications
Date Deposited: 16 Sep 2016 10:52
Last Modified: 08 Jun 2018 15:07
Status: In Press

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