A hybrid rumor detection model derived from a comparative study of supervised approaches

A hybrid rumor detection model derived from a comparative study of supervised approaches

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

Bibliografiset tiedot
Päätekijät:	Aothoi, Mehzabin Sadat, Ahsan, Samin, Ahmed, Fardeen
Muut tekijät:	Rasel, Mr. Annajiat Alim
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2023
Aiheet:	Rumor detection NLP Machine learning Deep learning Decision tree Random forest Naive bayes Support Vector Machine (SVM) BERT RNN CNN Artificial intelligence Cognitive learning theory
Linkit:	http://hdl.handle.net/10361/20156

Samankaltaisia teoksia

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

A machine learning approach to predict young voter enthusiasm based on non-political factors
Tekijä: Rahman, Md. Nowroz Junaed, et al.
Julkaistu: (2021)

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

Fighting depression: psychological approaches among Bangladeshi university students
Tekijä: Sen, Sanjib Kumar, et al.
Julkaistu: (2022)

SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
Tekijä: Alam, Auninda, et al.
Julkaistu: (2021)

Text classification using machine learning algorithms
Tekijä: Hasnat, Fahim, et al.
Julkaistu: (2018)

Parking data analysis
Tekijä: Ahamed, Kasfi, et al.
Julkaistu: (2023)

Estimating flood susceptibility of Bangladesh in the future year using machine learning
Tekijä: Alim, Sakib Bin, et al.
Julkaistu: (2021)

A machine learning approach to predict movie box-office success
Tekijä: Quader, Nahid, et al.
Julkaistu: (2018)

A feature selection approach to determine obesity using machine learning method
Tekijä: Antor, Shahidul Alam, et al.
Julkaistu: (2021)

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

Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace
Tekijä: Al Amin, Istiak, et al.
Julkaistu: (2022)

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

Cardiovascular disease prediction model using Machine Learning Algorithm
Tekijä: Arefin Mirdha, MD Shamsul
Julkaistu: (2023)

A counseling system to predict the study path for freshmen
Tekijä: Usha, Rowshni Tasneem, et al.
Julkaistu: (2019)

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

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

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

Credit card fraud detection using machine learning techniques
Tekijä: Kabir, Tasmia, et al.
Julkaistu: (2021)

An advanced hospital rating system using machine learning and natural language processing
Tekijä: Tamjid, Ali Asgar, et al.
Julkaistu: (2023)

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

Diagnosis of cervical cancer using effective hybrid model in Bangladesh
Tekijä: Saad-Ul-Kabir, Syed, et al.
Julkaistu: (2021)

Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
Tekijä: Ahmed, Sajjad
Julkaistu: (2019)

Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
Tekijä: Sarkar, Ripa, et al.
Julkaistu: (2024)

Rating detection by reviews using ML and NLP towards mobile phone recommendation
Tekijä: Sarker, Md Wafi, et al.
Julkaistu: (2023)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
Tekijä: Rahee, Arnob, et al.
Julkaistu: (2021)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
Tekijä: Tasnim, Anika, et al.
Julkaistu: (2022)

Automation requirements engineering using machine learning
Tekijä: Abid, Md.Mehedy Hasan, et al.
Julkaistu: (2022)

Finding suitable locations for live campaigns using different machine learning techniques
Tekijä: Qudar, Mohiuddin Md. Abdul, et al.
Julkaistu: (2018)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
Tekijä: Turjo, Aquib Abtahi, et al.
Julkaistu: (2021)

Heart disease prediction using techniques of classification in machine learning
Tekijä: Afrose, Sadia, et al.
Julkaistu: (2021)

Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
Tekijä: Shihab, Ibne Farabi, et al.
Julkaistu: (2018)

Prediction of bipolar disorder from mental episodes using machine learning approach
Tekijä: Tasmeem, Sumaiya, et al.
Julkaistu: (2023)

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

Speech emotion detection using supervised, unsupervised and feature selection algorithms
Tekijä: Rifat, Abu Nuraiya Mahfuza Yesmin, et al.
Julkaistu: (2019)

An effective machine learning approach for sentiment analysis of restaurant reviews
Tekijä: Karim, Rabita
Julkaistu: (2018)

Heart disease prediction using machine learning algorithms
Tekijä: Ali, Musfiq, et al.
Julkaistu: (2019)

Performance analysis of machine learning classi ers for detecting PE malware
Tekijä: Azmee, ABM.Adnan, et al.
Julkaistu: (2020)

Smart companion agent for mental well-being through Deep Learning and NLP
Tekijä: Khan, Rafiur, et al.
Julkaistu: (2021)

Stock market prediction using ensemble learning
Tekijä: Rabbani, Rakin Bin, et al.
Julkaistu: (2021)