Interpretable Bangla fake news classification using BERT and traditional machine learning approaches
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
主要な著者: | Anan, Ramisa, Modhu, Elizabeth Antora, Suter, Arjun, Sneha, Ifrit Jamal |
---|---|
その他の著者: | Rasel, Annajiat Alim |
フォーマット: | 学位論文 |
言語: | English |
出版事項: |
Brac University
2023
|
主題: | |
オンライン・アクセス: | http://hdl.handle.net/10361/21830 |
類似資料
-
Multimodal fake news detection using text and image
著者:: Biswas, Trisha, 等
出版事項: (2024) -
An integrated approach: fake review detection using convBERT-BiLSTM classification
著者:: Mahmud, Md. Anas, 等
出版事項: (2024) -
FakeDetect: Bangla fake news detection model based on different machine learning classifiers
著者:: Sraboni, Tasnuba, 等
出版事項: (2021) -
Fake news pattern recognition using linguistic analysis
著者:: Dey, Amitabha, 等
出版事項: (2018) -
COVID-19 related fake news detection model
著者:: Shondhy, Sumaiya Islam, 等
出版事項: (2021)