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

Aseem Kinra; Raghava Rao Mukkamala; Ravi Vatrapu

doi:10.1007/978-3-319-45117-6_11

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

Aseem Kinra, Raghava Rao Mukkamala, Ravi Vatrapu

Department of Operations Management

Westerdals – Oslo School of Arts, Communication and Technology

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-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.

Original language	English
Title of host publication	Dynamics in Logistics : Proceedings of the 5th International Conference LDIC, 2016 Bremen, Germany
Editors	Michael Freitag, Herbert Kotzab, Jürgen Pannek
Number of pages	11
Place of Publication	Cham
Publisher	Springer
Publication date	2017
Pages	119-129
Chapter	11
ISBN (Print)	9783319451169
ISBN (Electronic)	9783319451176
DOIs	https://doi.org/10.1007/978-3-319-45117-6_11
Publication status	Published - 2017
Event	The 5th International Conference on Dynamics in Logistics. LDIC 2016 - Bremen, Germany Duration: 22 Feb 2016 → 25 Feb 2016 Conference number: 5 http://www.ldic-conference.org/

Conference

Conference	The 5th International Conference on Dynamics in Logistics. LDIC 2016
Number	5
Country/Territory	Germany
City	Bremen
Period	22/02/2016 → 25/02/2016
Internet address	http://www.ldic-conference.org/

Series	Lecture Notes in Logistics
ISSN	2194-8917

Keywords

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

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Cite this

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.",

keywords = "Logistics, Transport system evaluation, Big data analytics, Data mining, Text mining, Machine learning, Logistics, Transport system evaluation, Big data analytics, Data mining, Text mining, Machine learning",

author = "Aseem Kinra and Mukkamala, \{Raghava Rao\} and Ravi Vatrapu",

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booktitle = "Dynamics in Logistics",

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note = "The 5th International Conference on Dynamics in Logistics. LDIC 2016 ; Conference date: 22-02-2016 Through 25-02-2016",

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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, The 5th International Conference on Dynamics in Logistics. LDIC 2016, Bremen, Germany, 22/02/2016. https://doi.org/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 (Lecture Notes in Logistics).

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

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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.

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KW - Data mining

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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). doi: 10.1007/978-3-319-45117-6_11