Textual data science for logistics and supply chain management
Year of publication: |
2021
|
---|---|
Authors: | Treiblmaier, Horst ; Mair, Patrick |
Published in: |
Logistics. - Basel : MDPI AG, ISSN 2305-6290, ZDB-ID 2908937-2. - Vol. 5.2021, 3, Art.-No. 56, p. 1-15
|
Subject: | correspondence analysis | multidimensional scaling | sentiment analysis | supply chain forecasting | text analysis | text mining | topic modeling | word clouds | Prognoseverfahren | Forecasting model | Lieferkette | Supply chain | Text | Logistik | Logistics | Data Mining | Data mining | Cloud Computing | Cloud computing |
-
Stietencron, Moritz von, (2022)
-
All work and no play : a text analysis
Downer, Kate, (2019)
-
Reading customers' minds through textual big data : challenges, practical guidelines, and proposals
Kwon, Wooseok, (2023)
- More ...
-
Rusch, Thomas, (2017)
-
Using Multistage Competing Risks Approaches to Model Web Page Transitions
Mair, Patrick, (2017)
-
Rusch, Thomas, (2017)
- More ...