An overview of Fake News DetectionusingBidirectional Long Short-TermMemory(BiLSTM)Models
Abstract
This study aims to provide an overview of the existing research on fake news detection using Bidirectional Long Short-Term Memory (Bi LSTM) models. The paper focuses on the advantages of using Bi LSTM over other machine learning techniques, various feature extraction methods, and the challenges faced in fake news detection. By reviewing the state-of-the-art studies, this survey highlights the performance and effectiveness of Bi LSTM in addressing the fake news detection problem.
Keywords:
BiLSTM, Fake news detection, recurrent neural network, Natural language processing
Published
Issue
Section
License
Copyright (c) 2023 International Journal on Emerging Research Areas
This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Elisabeth Thomas, Arjun Saji, Aswin M S, Augustine Salas, Emil Viju, A Comprehensive Review of Advancing Cattle Monitoring and Behavior Classification using Deep Learning , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Krishnendu B, Sreelakshmi A, Sumayya Maheen, Zameel Hassan, Honey Joseph, Chatbot-Enabled Symptom Assessment: Revolutionizing Disease Diagnosis and Patient Care , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Jyothis Joseph , Ajay K Baiju, Ganga Binukumar, Akshara Manoj, Sandra Elizabeth Rony, A Crowd Monitoring and Real-Time Tracking System using CNN , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Honey Thomas, Linna Benny, Saya Nezrin, Navya Neethi S, Niya Joseph, Smart Communication Software for the Hearing Impaired Using Artificial Intelligence , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Prayag Suresh, Sneha Susan Alex, Rojan Varghese, Thomas Zacharias, Shiney Thomas, Survey of Strabismus Detection Techniques , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Aniruddha Das, Avisikta Modak, The Carbon footprint of Machine Learning Models , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- George P Kurias, Gokul Krishna AU, Jifith Joseph, Sharunmon R, Linsa Mathew, A Review of Methodologies for Detecting Missing and Wanted People Using Machine Learning and Video Surveillance , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- S Sreejith, Akshara Santhosh, Ardra Haridas, S Jayakrishnan, Ojus Thomas Lee, Chitra Merin Varghese, BrailE- Reading Device for the Deaf and Blind in Real Time Speech , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Arya Raj S, R Gopika Krishnan, Drishya Das, Rohith R, Jocelyn Ann Joseph, Personality Profiling Using CV Analysis , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Fabeela Ali Rawther, Akhil P Dominic, Alan James, Christy Chacko, Elena Maria Varghese, Early Detection of Attention Deficiency Using ML , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
You may also start an advanced similarity search for this article.