Methodological Demonstration of a Text Analytics Approach to Country Logistics System Assessments

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Abstrakt

The purpose of this study is to develop and demonstrate a semi-automated text analytics approach for the identification and categorization of information that can be used for country logistics assessments. In this paper, we develop the methodology on a set of documents for 21 countries using machine learning techniques while controlling both for 4 different time periods in the world FDI trends, and the different geographic and economic country affiliations. We report illustrative findings followed by a presentation of the separation of concerns/division of labor between the domain expert and the text analyst. Implications are discussed and future work is outlined.
OriginalsprogEngelsk
TitelDynamics in Logistics : Proceedings of the 5th International Conference LDIC, 2016 Bremen, Germany
RedaktørerMichael Freitag, Herbert Kotzab, Jürgen Pannek
Antal sider11
UdgivelsesstedCham
ForlagSpringer
Publikationsdato2017
Sider119-129
Kapitel11
ISBN (Trykt)9783319451169
ISBN (Elektronisk)9783319451176
DOI
StatusUdgivet - 2017
BegivenhedThe 5th International Conference on Dynamics in Logistics. LDIC 2016 - Bremen, Tyskland
Varighed: 22 feb. 201625 feb. 2016
Konferencens nummer: 5
http://www.ldic-conference.org/

Konference

KonferenceThe 5th International Conference on Dynamics in Logistics. LDIC 2016
Nummer5
LandTyskland
ByBremen
Periode22/02/201625/02/2016
Internetadresse
NavnLecture Notes in Logistics
ISSN2194-8917

Emneord

  • Logistics
  • Transport system evaluation
  • Big data analytics
  • Data mining
  • Text mining
  • Machine learning

Citationsformater