A hybrid CNN-LSTM approach for large-scale Twitter sentiment analysis with explainable artificial intelligence.

Kılıç Z, Aslan E, Ozupak Y

DOI: 10.1038/s41598-026-58345-w
Published: 2026 Jun 16
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-58345-w,
  title = {A hybrid CNN-LSTM approach for large-scale Twitter sentiment analysis with explainable artificial intelligence.},
  author = {Kılıç Z and Aslan E and Ozupak Y},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-58345-w},
  url = {https://doi.org/10.1038/s41598-026-58345-w}
}

RIS

TY  - JOUR
TI  - A hybrid CNN-LSTM approach for large-scale Twitter sentiment analysis with explainable artificial intelligence.
AU  - Kılıç Z
AU  - Aslan E
AU  - Ozupak Y
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-58345-w
UR  - https://doi.org/10.1038/s41598-026-58345-w
ER  -

APA

Z, K., E, A., & Y, O. (2026). A hybrid CNN-LSTM approach for large-scale Twitter sentiment analysis with explainable artificial intelligence.. Scientific reports. https://doi.org/10.1038/s41598-026-58345-w

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pubmed · retrieved 2026-11-10T13:48:32.651Z