Hybrid approach of deep feature extraction using BERT– OPCNN & FIAC with customized Bi-LSTM for rumor text classification
Rumor data classification in social media seems essential research due to its dependency on digital communications, and this rumor data makes social media unstable. In Natural Language Processing, word embedding, feature extraction, and classification techniques are challenging in rumor detection re...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-03-01
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Series: | Alexandria Engineering Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824000759 |