A novel lexicon dictionary and CNN-LSTM employed hybrid approach for sentiment detection of COVID-19 vaccines.
- DOI
- 10.1038/s41598-026-51418-w
- Published
- 2026 May 19
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-51418-w,
title = {A novel lexicon dictionary and CNN-LSTM employed hybrid approach for sentiment detection of COVID-19 vaccines.},
author = {Tiwari D and Bhati BS and Garg P and Babbar N},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-51418-w},
url = {https://doi.org/10.1038/s41598-026-51418-w}
}RIS
TY - JOUR TI - A novel lexicon dictionary and CNN-LSTM employed hybrid approach for sentiment detection of COVID-19 vaccines. AU - Tiwari D AU - Bhati BS AU - Garg P AU - Babbar N PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-51418-w UR - https://doi.org/10.1038/s41598-026-51418-w ER -
APA
D, T., BS, B., P, G., & N, B. (2026). A novel lexicon dictionary and CNN-LSTM employed hybrid approach for sentiment detection of COVID-19 vaccines.. Scientific reports. https://doi.org/10.1038/s41598-026-51418-w
Source records
- pubmed · retrieved 2026-09-26T20:22:38.683Z