Identifying Bangla deceptive news using machine learning and deep learning algorithms

Identifying Bangla deceptive news using machine learning and deep learning algorithms

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Bibliografiske detaljer
Main Authors:	Piyal, Anindya Roy, Iqbal, Shams, Rohan, Anupom Ray, Zaman, Nowshin, Meheja, Nowshin
Andre forfattere:	Rahman, Md. Khalilur
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2023
Fag:	Fake-news Bangla fake-news BNLP BLTK bn_w2v_wiki SMOTE LSTM RFC Deep learning Artificial intelligence Cognitive learning theory Machine learning Computer algorithms
Online adgang:	http://hdl.handle.net/10361/22040

Lignende værker

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

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

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

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

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

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

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

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

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

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

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

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

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

Dhaka Stock Exchange stock price prediction using Machine Learning and Deep Learning Models
af: Barua, Debalina
Udgivet: (2023)

RUMUNA holds workshop on UN
Udgivet: (2015)

BRAC University students visit Parliament
Udgivet: (2015)

BRAC students develop games for autistic kids
af: Mahmud, Faisal
Udgivet: (2015)

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

Robi trusts young talent to deliver future growth
af: The Daily Star
Udgivet: (2015)

The ‘hardware’ dreams
af: Mahmud, Faisal
Udgivet: (2015)

BRACU signs MoU with Ernst and Young
af: The Daily Observer
Udgivet: (2015)

Regional Governance Matters
af: Or Rashid, Md. Harun
Udgivet: (2015)

Dim the destination allure for boat people
af: Islam, Md. Rizwanul
Udgivet: (2015)

Hybrid recommendation system of intelligent captioning using deep learning networks
af: Wasi, Ahamed Al, et al.
Udgivet: (2024)

Deep learning approaches to EEG and fMRI data: a comparative study for sleep stage classification
af: Tanvir, Farhan, et al.
Udgivet: (2024)

MediaWiki 1.1 beginner's guide : install, manage, and customize your own MediaWiki-based site /
af: Rahman, Mizanur
Udgivet: (2010)

3G and 4G paging success rate based mobile network anomaly detection using supervised and unsupervised learning
af: Ahasan, Md Rakibul
Udgivet: (2022)

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

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

সংবাদপত্রের স্টাইল শিট /
af: আশরাফ, খোন্দকার আলী

Report on exploring various aspects of Dhaka Bangla Media & Communication Limited
af: Soumik, Sadab Shariar
Udgivet: (2024)

A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning
af: Morshed, Atique, et al.
Udgivet: (2021)

Learning a deep neural network for predicting phishing website
af: Das, Robat, et al.
Udgivet: (2019)

Performance analysis of deep learning algorithms for Intrusion Detection System(IDS) of IoT Security
af: Fiha, Yeamin Jahan, et al.
Udgivet: (2022)

Internship as a newsroom editor at DBC News
af: Bushra, Mst. Kamrunnahar
Udgivet: (2023)

Demystifying machine learning models for IOT attack detection with explainable AI
af: Muna, Rabeya Khatun, et al.
Udgivet: (2021)

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

Essentials of learning : the new cognitive learning for students of education /
af: Travers, Robert Morris William, 1913-

BRACU Express - Spring 17 - Issue 3
af: Express, BRACU
Udgivet: (2019)

BRACU Express - Spring 17 - Issue 1
af: Express, BRACU
Udgivet: (2019)