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

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

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.
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.
LanguageEnglish
Title of host publicationDynamics in Logistics : Proceedings of the 5th International Conference LDIC, 2016 Bremen, Germany
EditorsMichael Freitag, Herbert Kotzab, Jürgen Pannek
Place of PublicationCham
PublisherSpringer
Date2017
Pages119-129
Chapter11
ISBN (Print)9783319451169
ISBN (Electronic)9783319451176
DOIs
StatePublished - 2017
EventThe 5th International Conference on Dynamics in Logistics. LDIC 2016 - Bremen, Germany
Duration: 22 Feb 201625 Feb 2016
Conference number: 5
http://www.ldic-conference.org/

Conference

ConferenceThe 5th International Conference on Dynamics in Logistics. LDIC 2016
Number5
CountryGermany
CityBremen
Period22/02/201625/02/2016
Internet address
SeriesLecture Notes in Logistics
ISSN2194-8917

Keywords

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

Cite this

Kinra, A., Mukkamala, R. R., & Vatrapu, R. (2017). Methodological Demonstration of a Text Analytics Approach to Country Logistics System Assessments. In M. Freitag, H. Kotzab, & J. Pannek (Eds.), Dynamics in Logistics: Proceedings of the 5th International Conference LDIC, 2016 Bremen, Germany (pp. 119-129). Cham: Springer. Lecture Notes in Logistics, DOI: 10.1007/978-3-319-45117-6_11
Kinra, Aseem ; Mukkamala, Raghava Rao ; Vatrapu, Ravi. / Methodological Demonstration of a Text Analytics Approach to Country Logistics System Assessments. Dynamics in Logistics: Proceedings of the 5th International Conference LDIC, 2016 Bremen, Germany. editor / Michael Freitag ; Herbert Kotzab ; Jürgen Pannek. Cham : Springer, 2017. pp. 119-129 (Lecture Notes in Logistics).
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abstract = "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.",
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Kinra, A, Mukkamala, RR & Vatrapu, R 2017, Methodological Demonstration of a Text Analytics Approach to Country Logistics System Assessments. in M Freitag, H Kotzab & J Pannek (eds), Dynamics in Logistics: Proceedings of the 5th International Conference LDIC, 2016 Bremen, Germany. Springer, Cham, Lecture Notes in Logistics, pp. 119-129, Bremen, Germany, 22/02/2016. DOI: 10.1007/978-3-319-45117-6_11

Methodological Demonstration of a Text Analytics Approach to Country Logistics System Assessments. / Kinra, Aseem; Mukkamala, Raghava Rao; Vatrapu, Ravi.

Dynamics in Logistics: Proceedings of the 5th International Conference LDIC, 2016 Bremen, Germany. ed. / Michael Freitag; Herbert Kotzab; Jürgen Pannek. Cham : Springer, 2017. p. 119-129.

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

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N2 - 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.

AB - 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.

KW - Logistics

KW - Transport system evaluation

KW - Big data analytics

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KW - Transport system evaluation

KW - Big data analytics

KW - Data mining

KW - Text mining

KW - Machine learning

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Kinra A, Mukkamala RR, Vatrapu R. Methodological Demonstration of a Text Analytics Approach to Country Logistics System Assessments. In Freitag M, Kotzab H, Pannek J, editors, Dynamics in Logistics: Proceedings of the 5th International Conference LDIC, 2016 Bremen, Germany. Cham: Springer. 2017. p. 119-129. (Lecture Notes in Logistics). Available from, DOI: 10.1007/978-3-319-45117-6_11