Sentiment Analysis using KNIME: a Systematic Literature Review of Big Data Logistics

Graham, G orcid.org/0000-0002-9908-4974 and Meriton, R (2016) Sentiment Analysis using KNIME: a Systematic Literature Review of Big Data Logistics. In: Proceedings of the Eighth International Conference on Emerging Networks and Systems Intelligence. EMERGING 2016: The Eighth International Conference on Emerging Networks and Systems Intelligence, 09 Oct - 13 Sep 2016, Venice, Italy. International Academy, Research, and Industry Association , pp. 96-99. ISBN 9781510830899

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Authors/Creators:
Keywords: Big data; logistics; sentiment analysis; KNIME; text analytics
Dates:
  • Published: 9 October 2016
  • Accepted: 10 September 2016
Institution: The University of Leeds
Academic Units: 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 Jul 2019 14:07
Published Version: https://www.iaria.org/conferences2016/EMERGING16.h...
Status: Published
Publisher: International Academy, Research, and Industry Association

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