Business text classification with imbalanced data and moderately large label spaces for digital transformation

Muhammad Arslan, Christophe Cruz

Open source

DOI: 10.1007/s41109-024-00623-5
Published: 2024-04-30
Container: Applied Network Science
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s41109-024-00623-5,
  title = {Business text classification with imbalanced data and moderately large label spaces for digital transformation},
  author = {Muhammad Arslan and Christophe Cruz},
  year = {2024},
  journal = {Applied Network Science},
  doi = {10.1007/s41109-024-00623-5},
  url = {https://doi.org/10.1007/s41109-024-00623-5}
}

RIS

TY  - JOUR
TI  - Business text classification with imbalanced data and moderately large label spaces for digital transformation
AU  - Muhammad Arslan
AU  - Christophe Cruz
PY  - 2024
JO  - Applied Network Science
DO  - 10.1007/s41109-024-00623-5
UR  - https://doi.org/10.1007/s41109-024-00623-5
ER  -

APA

Arslan, M., & Cruz, C. (2024). Business text classification with imbalanced data and moderately large label spaces for digital transformation. Applied Network Science. https://doi.org/10.1007/s41109-024-00623-5

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crossref · retrieved 2026-09-24T22:58:23.657Z