A multi-task learning approach for consumer sentiment classification and emotion detection via behavioral data
- DOI
- 10.1038/s41598-026-72542-7
- Published
- 2026-10-22
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-72542-7,
title = {A multi-task learning approach for consumer sentiment classification and emotion detection via behavioral data},
author = {Farhan Alam and Ashraf Kamal and Mohammad Meraj and Mohd Fazil and Ahmad Kamal and Shakir Khan and Shama Faridi and Vineet Kumar Sejwal and Saqib Qamar and Riyad Almakki},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-72542-7},
url = {https://doi.org/10.1038/s41598-026-72542-7}
}RIS
TY - JOUR TI - A multi-task learning approach for consumer sentiment classification and emotion detection via behavioral data AU - Farhan Alam AU - Ashraf Kamal AU - Mohammad Meraj AU - Mohd Fazil AU - Ahmad Kamal AU - Shakir Khan AU - Shama Faridi AU - Vineet Kumar Sejwal AU - Saqib Qamar AU - Riyad Almakki PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-72542-7 UR - https://doi.org/10.1038/s41598-026-72542-7 ER -
APA
Alam, F., Kamal, A., Meraj, M., Fazil, M., Kamal, A., Khan, S., Faridi, S., Sejwal, V. K., Qamar, S., & Almakki, R. (2026). A multi-task learning approach for consumer sentiment classification and emotion detection via behavioral data. Scientific Reports. https://doi.org/10.1038/s41598-026-72542-7
Source records
- crossref · retrieved 2026-11-08T06:35:32.743Z