Rumor detection in Bangla using machine learning & deep learning

Rumor detection in Bangla using machine learning & deep learning

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

Xehetasun bibliografikoak
Egile Nagusiak:	Ahmed, Md Istiaq, Anoy, Shoumik Malakar, Nusrat, Elham, Ahmed, Risat
Beste egile batzuk:	Rasel, Annajiat Alim
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2023
Gaiak:	Rumor Hoax Misinformation Fake news Classification models Natural language processing CNN RNN Artificial intelligence Machine learning Cognitive learning theory
Sarrera elektronikoa:	http://hdl.handle.net/10361/18001

Antzeko izenburuak

FakeDetect: Bangla fake news detection model based on different machine learning classifiers
nork: Sraboni, Tasnuba, et al.
Argitaratua: (2021)

Identifying Bangla deceptive news using machine learning and deep learning algorithms
nork: Piyal, Anindya Roy, et al.
Argitaratua: (2023)

A hybrid rumor detection model derived from a comparative study of supervised approaches
nork: Aothoi, Mehzabin Sadat, et al.
Argitaratua: (2023)

Demystifying black-box learning models of rumor detection from social media posts
nork: Tafannum, Faiza, et al.
Argitaratua: (2021)

Interpretable Bangla fake news classification using BERT and traditional machine learning approaches
nork: Anan, Ramisa, et al.
Argitaratua: (2023)

Predicting crime using deep learning
nork: Shihab, Muhammad Nafees, et al.
Argitaratua: (2024)

Silent voice: harnessing deep learning for lip-reading in Bangla
nork: Shaheen, Munia, et al.
Argitaratua: (2024)

Deep learning-based waste classification system for efficient waste management
nork: Nakib, Abdullah Al, et al.
Argitaratua: (2022)

Detection of Deepfake using computer vision and deep learning
nork: Rahman, Anisur, et al.
Argitaratua: (2023)

Detecting fake news on Covid-19 using machine learning algorithms
nork: Hossain, Farhan, et al.
Argitaratua: (2023)

Deep Learning based Bangla Voice to Braille Character Conversion System
nork: Iqbal, Syed Bayes, et al.
Argitaratua: (2022)

Predicting regional accents of Bengali language using deep learning
nork: Ibrahim, Md. Abu, et al.
Argitaratua: (2022)

Application of deep learning in MRI classification of Schizophrenia
nork: Joyee, Ramisa Fariha, et al.
Argitaratua: (2024)

Automated image caption generator in Bangla using multimodal learning
nork: Rodoshi, Mashiat Hasin, et al.
Argitaratua: (2023)

Bangla text classification using machine learning and deep learning techniques
nork: Salehin, Kamrus, et al.
Argitaratua: (2021)

An improved deepfake detection using deep learning
nork: Paul, Annay, et al.
Argitaratua: (2023)

Multimodal fake news detection using text and image
nork: Biswas, Trisha, et al.
Argitaratua: (2024)

Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning
nork: Arafat, Sheikh Mohammad, et al.
Argitaratua: (2021)

Classification of peripheral blood cell images using deep learning
nork: Aadi, Oyshik Ahmed, et al.
Argitaratua: (2024)

Detecting propagandistic poster title: a machine learning approach
nork: Mahmood, Riaz, et al.
Argitaratua: (2024)

An efficient deep learning approach to detect citrus leaves disease
nork: Emon, Shaharear Hossain, et al.
Argitaratua: (2024)

BanglaBait: using transformers, neural networks & statistical classifiers to detect clickbaits in New Bangla Clickbait Dataset
nork: Mahtab, Motahar, et al.
Argitaratua: (2022)

An efficient deep learning approach to detect skin Cancer
nork: Islam, Ashfaqul, et al.
Argitaratua: (2022)

Sound classification using deep learning for hard of hearing and deaf people
nork: Habib, Md.Adnan, et al.
Argitaratua: (2022)

What is relevant in a text document a machine learning based approach
nork: Mahmud, Abdullah Al, et al.
Argitaratua: (2021)

A deep learning approach towards soft biometrics attributes prediction using CNN
nork: Kibria, Maharab, et al.
Argitaratua: (2022)

Fake news pattern recognition using linguistic analysis
nork: Dey, Amitabha, et al.
Argitaratua: (2018)

Detection of fake identities on twitter using supervised machine learning
nork: Rahman, MD. Takiur, et al.
Argitaratua: (2019)

Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
nork: Hossain, Mainul, et al.
Argitaratua: (2022)

Detection of alzheimer's disease using deep learning
nork: Hasan, Mahmudul, et al.
Argitaratua: (2021)

Image recognition by deep learning
nork: Mohiuddin, Karishma, et al.
Argitaratua: (2018)

Bang-lish sentiment classification using deep learning
nork: Saleheen, Abrar, et al.
Argitaratua: (2023)

COVID-19 related fake news detection model
nork: Shondhy, Sumaiya Islam, et al.
Argitaratua: (2021)

Bangla speech recognition using 1D CNN and LSTM with different dimension reduction techniques
nork: Nirjhor, S M Mahsanul Islam, et al.
Argitaratua: (2019)

Prostate cancer detection using deep learning neural network with transfer learning approach
nork: Badhon, Ariful Islam Mahmud, et al.
Argitaratua: (2022)

Classifying insect pests from image data using deep learning
nork: Mohsin, Md. Raiyan Bin, et al.
Argitaratua: (2022)

Leveraging sequential deep learning models for detecting multitude of human action categories
nork: Pranta, Kazi Al Refat, et al.
Argitaratua: (2024)

Recognition of Bangladeshi sign language from 2D videos using openpose and LSTM based RNN
nork: Dewanjee, Tanmoy, et al.
Argitaratua: (2021)

A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
nork: Ahmed, Istiak, et al.
Argitaratua: (2023)

Comparison of different CNN architectures for brain tumor detection using fMRI
nork: Mashiat, Afsara, et al.
Argitaratua: (2021)