Hybrid approach of deep feature extraction using BERT– OPCNN & FIAC with customized Bi-LSTM for rumor text classification
- DOI
- 10.1016/j.aej.2024.01.056
- Published
- 03
- Container
- Alexandria Engineering Journal
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.aej.2024.01.056,
title = {Hybrid approach of deep feature extraction using BERT– OPCNN \& FIAC with customized Bi-LSTM for rumor text classification},
author = {Nithya K and Krishnamoorthi M and Sathishkumar Veerappampalayam Easwaramoorthy and Dhivyaa C R and Seohyun Yoo and Jaehyuk Cho},
year = {2024},
journal = {Alexandria Engineering Journal},
doi = {10.1016/j.aej.2024.01.056},
url = {https://doi.org/10.1016/j.aej.2024.01.056}
}RIS
TY - JOUR TI - Hybrid approach of deep feature extraction using BERT– OPCNN & FIAC with customized Bi-LSTM for rumor text classification AU - Nithya K AU - Krishnamoorthi M AU - Sathishkumar Veerappampalayam Easwaramoorthy AU - Dhivyaa C R AU - Seohyun Yoo AU - Jaehyuk Cho PY - 2024 JO - Alexandria Engineering Journal DO - 10.1016/j.aej.2024.01.056 UR - https://doi.org/10.1016/j.aej.2024.01.056 ER -
APA
K, N., M, K., Easwaramoorthy, S. V., R, D. C., Yoo, S., & Cho, J. (2024). Hybrid approach of deep feature extraction using BERT– OPCNN & FIAC with customized Bi-LSTM for rumor text classification. Alexandria Engineering Journal. https://doi.org/10.1016/j.aej.2024.01.056
Source records
- doaj · retrieved 2026-09-25T20:22:59.941Z