RETRACTED ARTICLE: An efficient hybrid stock trend prediction system during COVID-19 pandemic based on stacked-LSTM and news sentiment analysis.

Sharaf M, Hemdan EE, El-Sayed A, El-Bahnasawy NA

Open source

DOI
10.1007/s11042-022-14216-w
Published
2023
Container
Multimedia tools and applications
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1007/s11042-022-14216-w,
  title = {RETRACTED ARTICLE: An efficient hybrid stock trend prediction system during COVID-19 pandemic based on stacked-LSTM and news sentiment analysis.},
  author = {Sharaf M and Hemdan EE and El-Sayed A and El-Bahnasawy NA},
  year = {2023},
  journal = {Multimedia tools and applications},
  doi = {10.1007/s11042-022-14216-w},
  url = {https://doi.org/10.1007/s11042-022-14216-w}
}

RIS

TY  - JOUR
TI  - RETRACTED ARTICLE: An efficient hybrid stock trend prediction system during COVID-19 pandemic based on stacked-LSTM and news sentiment analysis.
AU  - Sharaf M
AU  - Hemdan EE
AU  - El-Sayed A
AU  - El-Bahnasawy NA
PY  - 2023
JO  - Multimedia tools and applications
DO  - 10.1007/s11042-022-14216-w
UR  - https://doi.org/10.1007/s11042-022-14216-w
ER  - 

APA

M, S., EE, H., A, E., & NA, E. (2023). RETRACTED ARTICLE: An efficient hybrid stock trend prediction system during COVID-19 pandemic based on stacked-LSTM and news sentiment analysis.. Multimedia tools and applications. https://doi.org/10.1007/s11042-022-14216-w

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