Hybrid approach of deep feature extraction using BERT– OPCNN & FIAC with customized Bi-LSTM for rumor text classification

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...

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Bibliographic Details
Main Authors: Nithya K, Krishnamoorthi M, Sathishkumar Veerappampalayam Easwaramoorthy, Dhivyaa C R, Seohyun Yoo, Jaehyuk Cho
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Alexandria Engineering Journal
Subjects:
Rumor detection
Deep learning
FastText
FIAC embedding
BERT
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016824000759

Internet

http://www.sciencedirect.com/science/article/pii/S1110016824000759

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