BanglaBait: using transformers, neural networks & statistical classifiers to detect clickbaits in New Bangla Clickbait Dataset

BanglaBait: using transformers, neural networks & statistical classifiers to detect clickbaits in New Bangla Clickbait Dataset

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022

Opis bibliograficzny
Główni autorzy:	Mahtab, Motahar, Haque, Monirul, Hasan, Mehedi
Kolejni autorzy:	Akon, Mujtahid Al-Islam
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2022
Hasła przedmiotowe:	Clickbait Deep learning Bengali Online news Prediction Binary classification BERT Cognitive learning theory (Deep learning) Neural networks (Computer science)
Dostęp online:	http://hdl.handle.net/10361/17128

Podobne zapisy

Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
od: Ashraf, S.M. Nabil, i wsp.
Wydane: (2021)

Classification of peripheral blood cell images using deep learning
od: Aadi, Oyshik Ahmed, i wsp.
Wydane: (2024)

Classifying insect pests from image data using deep learning
od: Mohsin, Md. Raiyan Bin, i wsp.
Wydane: (2022)

Smart companion agent for mental well-being through Deep Learning and NLP
od: Khan, Rafiur, i wsp.
Wydane: (2021)

An efficient deep learning approach to detect skin Cancer
od: Islam, Ashfaqul, i wsp.
Wydane: (2022)

An interpretable transformer based approach to classify Malaria from blood cell images
od: Islam, Mehafuza, i wsp.
Wydane: (2023)

Predicting crime using deep learning
od: Shihab, Muhammad Nafees, i wsp.
Wydane: (2024)

Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
od: Reza, S. M. Mushfiq, i wsp.
Wydane: (2024)

FakeDetect: Bangla fake news detection model based on different machine learning classifiers
od: Sraboni, Tasnuba, i wsp.
Wydane: (2021)

Prostate cancer detection using deep learning neural network with transfer learning approach
od: Badhon, Ariful Islam Mahmud, i wsp.
Wydane: (2022)

Identifying Bangla deceptive news using machine learning and deep learning algorithms
od: Piyal, Anindya Roy, i wsp.
Wydane: (2023)

Classification of Bangla regional languages and recognition of artificial Bangla speech using deep learning
od: Hossain, Prommy Sultana
Wydane: (2022)

Identifying hate speech of Bangla language text using natural language processing
od: Rahman, Mushfiqur, i wsp.
Wydane: (2024)

A deep learning approach to integrate human-level understanding in a Chatbot
od: Al Mamun, Amirul Islam, i wsp.
Wydane: (2021)

Corn leaf disease detection using deep convolution neural network
od: Rabbi, Rawhatur, i wsp.
Wydane: (2023)

An efficient deep learning approach to detect citrus leaves disease
od: Emon, Shaharear Hossain, i wsp.
Wydane: (2024)

A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
od: Mubin, Kazi Ehsanul, i wsp.
Wydane: (2022)

Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
od: Rayhan, Mohammad, i wsp.
Wydane: (2020)

A modern technique to detect potholes by Computer Vision and Deep Learning
od: Saif, Muntasir Mahmud, i wsp.
Wydane: (2023)

Deep Learning based Bangla Voice to Braille Character Conversion System
od: Iqbal, Syed Bayes, i wsp.
Wydane: (2022)

KDANet: optical recognition for Bangla language using deep neural networks
od: Rabbi, Kazi Kamruzzaman, i wsp.
Wydane: (2023)

Deep learning-based waste classification system for efficient waste management
od: Nakib, Abdullah Al, i wsp.
Wydane: (2022)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
od: Sakir, Adnan, i wsp.
Wydane: (2023)

Rumor detection in Bangla using machine learning & deep learning
od: Ahmed, Md Istiaq, i wsp.
Wydane: (2023)

An efficient deep learning approach to detect skin cancer using image data
od: Chowdhury, Yaser Al Rahman, i wsp.
Wydane: (2023)

An active-learning based training-schedule for biomedical image segmentation on deep neural networks
od: Hassan, Mehadi, i wsp.
Wydane: (2021)

An efficient deep learning approach to classify white blood cells
od: Turja, Afif Ibna Kadir Khan, i wsp.
Wydane: (2024)

Hybrid recommendation system of intelligent captioning using deep learning networks
od: Wasi, Ahamed Al, i wsp.
Wydane: (2024)

An efficient approach for binary classification in brain tumor detection using convolutional neural network
od: Islam, MD. Arman, i wsp.
Wydane: (2023)

Interpretable Bangla fake news classification using BERT and traditional machine learning approaches
od: Anan, Ramisa, i wsp.
Wydane: (2023)

Multimodal fake news detection using text and image
od: Biswas, Trisha, i wsp.
Wydane: (2024)

Application of CNN based architectures in detection of distracted drivers
od: Arafin, Irfana, i wsp.
Wydane: (2023)

Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
od: Hasan, M. M. Kamrul, i wsp.
Wydane: (2022)

Facial expression recognition: convolutional attentional masking network and ensemble approach
od: Kowsar, Ibna, i wsp.
Wydane: (2021)

An integrated approach: fake review detection using convBERT-BiLSTM classification
od: Mahmud, Md. Anas, i wsp.
Wydane: (2024)

Damaged road detection using Image Processing and Deep Learning
od: Swadesh, Shimran Mahbub, i wsp.
Wydane: (2022)

Gender classification in Bangla language using deep learning-based voice analysis
od: Hakim, Talukder Juhaer, i wsp.
Wydane: (2024)

Deep learning : foundations and concepts /
od: Bishop, Christopher M.
Wydane: (2024)

Deep convolutional GAN-based data augmentation for medical image classification
od: Datta, Joy, i wsp.
Wydane: (2022)

Analysis of real-time hostile activitiy detection from spatiotemporal features using time distributed deep convolutional neural networks, recurrent neural networks and attention-based mechanisms
od: Siddique, Labib Ahmed, i wsp.
Wydane: (2022)