Hybrid deep learning of social media big data for predicting the evolution of COVID-19 transmission

Alvin Wei Ze Chew, Yue Pan, Ying Wang, Limao Zhang

Open source

DOI: 10.1016/j.knosys.2021.107417
Published: 2021-12
Container: Knowledge-Based Systems
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.knosys.2021.107417,
  title = {Hybrid deep learning of social media big data for predicting the evolution of COVID-19 transmission},
  author = {Alvin Wei Ze Chew and Yue Pan and Ying Wang and Limao Zhang},
  year = {2021},
  journal = {Knowledge-Based Systems},
  doi = {10.1016/j.knosys.2021.107417},
  url = {https://doi.org/10.1016/j.knosys.2021.107417}
}

RIS

TY  - JOUR
TI  - Hybrid deep learning of social media big data for predicting the evolution of COVID-19 transmission
AU  - Alvin Wei Ze Chew
AU  - Yue Pan
AU  - Ying Wang
AU  - Limao Zhang
PY  - 2021
JO  - Knowledge-Based Systems
DO  - 10.1016/j.knosys.2021.107417
UR  - https://doi.org/10.1016/j.knosys.2021.107417
ER  -

APA

Chew, A. W. Z., Pan, Y., Wang, Y., & Zhang, L. (2021). Hybrid deep learning of social media big data for predicting the evolution of COVID-19 transmission. Knowledge-Based Systems. https://doi.org/10.1016/j.knosys.2021.107417

Source records

crossref · retrieved 2026-09-26T23:00:41.217Z