FakeDetect: Bangla fake news detection model based on different machine learning classifiers

FakeDetect: Bangla fake news detection model based on different machine learning classifiers

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Detalhes bibliográficos
Principais autores:	Sraboni, Tasnuba, Uddin, Md. Rifat, Shahriar, Fahim, Rizon, Ruhit Ahmed, Polock, Shakib Ibna Shameem
Outros Autores:	Hossain, Muhammad Iqbal
Formato:	Tese
Idioma:	English
Publicado em:	Brac University 2021
Assuntos:	Fake News Bangla Fake News Machine Learning NLP Tf-IDF Passive Aggressive Classifier Machine learning
Acesso em linha:	http://hdl.handle.net/10361/14979

Registros relacionados

Multimodal fake news detection using text and image
por: Biswas, Trisha, et al.
Publicado em: (2024)

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

COVID-19 related fake news detection model
por: Shondhy, Sumaiya Islam, et al.
Publicado em: (2021)

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

Fake news pattern recognition using linguistic analysis
por: Dey, Amitabha, et al.
Publicado em: (2018)

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

Fake profile detection in social media using image processing and machine learning
por: Sen, Shuva, et al.
Publicado em: (2021)

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

Rumor detection in Bangla using machine learning & deep learning
por: Ahmed, Md Istiaq, et al.
Publicado em: (2023)

An integrated approach: fake review detection using convBERT-BiLSTM classification
por: Mahmud, Md. Anas, et al.
Publicado em: (2024)

Recognizing sentimental emotions in text by using Machine Learning
por: Bushra, Tabassum Khan, et al.
Publicado em: (2023)

A machine learning approach to detect DeepFake videos
por: Hassan, Md. Mahedi, et al.
Publicado em: (2021)

A hybrid fake banknote detection model using OCR, face recognition and hough features
por: Zarin, Adiba, et al.
Publicado em: (2018)

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

A hybrid fake banknote detection model using OCR, face recognition and hough features
por: Zarin, Adiba, et al.
Publicado em: (2019)

Detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques
por: Al Taawab, Abdullah, et al.
Publicado em: (2022)

Fraud detection in E-commerce using natural language processing
por: Kabir, Iftekhar, et al.
Publicado em: (2023)

Detection of Deepfake using computer vision and deep learning
por: Rahman, Anisur, et al.
Publicado em: (2023)

Utilization of machine learning classifiers to predict different forms of mental illness: schizophrenia, PTSD, bipolar disorder and depression
por: Jaman, Ayman Ibn, et al.
Publicado em: (2021)

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

Identification of fake news using machine learning in distributed system
por: Saif, Mehruz, et al.
Publicado em: (2021)

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

Chronic kidney disease detection using ensemble classi ers and feature set reduction
por: Shawan, Naveed Rahman, et al.
Publicado em: (2019)

Using deep learning algorithms to detect violent activities
por: Ammar, S.M. Rojin, et al.
Publicado em: (2019)

An implementation and analysis of deep learning models for the detection of wheat diseases
por: Zubair, Ahmad, et al.
Publicado em: (2024)

Bangla text classification using machine learning and deep learning techniques
por: Salehin, Kamrus, et al.
Publicado em: (2021)

Application of CNN based architectures in detection of distracted drivers
por: Arafin, Irfana, et al.
Publicado em: (2023)

An efficient deep learning approach to classify white blood cells
por: Turja, Afif Ibna Kadir Khan, et al.
Publicado em: (2024)

A machine learning approach to detect depression and anxiety using supervised learning
por: Ullas, Md Tahmidur Rahman, et al.
Publicado em: (2019)

Prediction of anxiety and depression among the transgender in Bangladesh
por: Easha, Ishrat Jahan, et al.
Publicado em: (2023)

Multimodal human detection in disaster situations using deep learning & artificial intelligence
por: Rafat, Md. Tasbi, et al.
Publicado em: (2023)

Detection of acute Lymphocytic Leukemia (ALL) and its type by image processing and machine learning
por: Chowdhury, Himadri, et al.
Publicado em: (2019)

Real-time foul detection in football matches using machine learning techniques
por: Siddiqui, Bishal Sadi, et al.
Publicado em: (2024)

Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
por: Alhossen, Md., et al.
Publicado em: (2021)

Fault detection in waste water treatment plant using statistical analysis & machine learning
por: Haque, Md. Ezazul, et al.
Publicado em: (2019)

RUMUNA holds workshop on UN
Publicado em: (2015)

BRAC University students visit Parliament
Publicado em: (2015)

BRAC students develop games for autistic kids
por: Mahmud, Faisal
Publicado em: (2015)

Discussing the role of graphic novels and comics in Academia
por: Khan, Ryan Rahman
Publicado em: (2015)

Robi trusts young talent to deliver future growth
por: The Daily Star
Publicado em: (2015)