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.

Bibliografske podrobnosti
Main Authors:	Sraboni, Tasnuba, Uddin, Md. Rifat, Shahriar, Fahim, Rizon, Ruhit Ahmed, Polock, Shakib Ibna Shameem
Drugi avtorji:	Hossain, Muhammad Iqbal
Format:	Thesis
Jezik:	English
Izdano:	Brac University 2021
Teme:	Fake News Bangla Fake News Machine Learning NLP Tf-IDF Passive Aggressive Classifier Machine learning
Online dostop:	http://hdl.handle.net/10361/14979

Podobne knjige/članki

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

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

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

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

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

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

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

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

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

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

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

A machine learning approach to detect DeepFake videos
od: Hassan, Md. Mahedi, et al.
Izdano: (2021)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Application of CNN based architectures in detection of distracted drivers
od: Arafin, Irfana, et al.
Izdano: (2023)

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

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

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

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

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

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

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

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

RUMUNA holds workshop on UN
Izdano: (2015)

BRAC University students visit Parliament
Izdano: (2015)

BRAC students develop games for autistic kids
od: Mahmud, Faisal
Izdano: (2015)

Discussing the role of graphic novels and comics in Academia
od: Khan, Ryan Rahman
Izdano: (2015)

Robi trusts young talent to deliver future growth
od: The Daily Star
Izdano: (2015)