dc.contributor.advisor | Rasel, Annajiat Alim | |
dc.contributor.advisor | Mukta, Jannatun Noor | |
dc.contributor.author | Ahmed, Md Istiaq | |
dc.contributor.author | Anoy, Shoumik Malakar | |
dc.contributor.author | Nusrat, Elham | |
dc.contributor.author | Ahmed, Risat | |
dc.date.accessioned | 2023-03-22T05:47:32Z | |
dc.date.available | 2023-03-22T05:47:32Z | |
dc.date.copyright | 2022 | |
dc.date.issued | 2022-05 | |
dc.identifier.issn | ID 18101139 | |
dc.identifier.other | ID 18101191 | |
dc.identifier.other | ID 18301265 | |
dc.identifier.other | ID 18101713 | |
dc.identifier.uri | http://hdl.handle.net/10361/18001 | |
dc.description | This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022. | en_US |
dc.description | Cataloged from PDF version of thesis. | |
dc.description | Includes bibliographical references (pages 68-71). | |
dc.description.abstract | Over the last decade, social media networks have become a vital platform for sharing
and obtaining information. Nevertheless, one of the dark sides of this social
media fever is rumors and fake news. Because misinformation has caused destruction
around the globe, it can also be a powerful weapon in cyber warfare. Due to its
easy accessibility in Bangladesh, cybercriminals and malicious forces target social
media platforms to spread misinformation in the native Bangla language. However,
there is no effective research or efficient tool to detect rumors in the Bangla language
on social media. So, this research works on Bangla rumor detection using Machine
Learning and Deep learning algorithms. This work explores different types of Machine
Learning and Deep Learning techniques and relevant datasets to develop an
effective technique that will help detect rumors from trending and sensitive Bangla
social media posts, detect their authenticity, and efficiently provide an accurate
result. | en_US |
dc.description.statementofresponsibility | Md Istiaq Ahmed | |
dc.description.statementofresponsibility | Shoumik Malakar Anoy | |
dc.description.statementofresponsibility | Elham Nusrat | |
dc.description.statementofresponsibility | Risat Ahmed | |
dc.format.extent | 71 pages | |
dc.language.iso | en | en_US |
dc.publisher | Brac University | en_US |
dc.rights | Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
dc.subject | Rumor | en_US |
dc.subject | Hoax | en_US |
dc.subject | Misinformation | en_US |
dc.subject | Fake news | en_US |
dc.subject | Classification models | en_US |
dc.subject | Natural language processing | en_US |
dc.subject | CNN | en_US |
dc.subject | RNN | en_US |
dc.subject.lcsh | Artificial intelligence | |
dc.subject.lcsh | Machine learning | |
dc.subject.lcsh | Cognitive learning theory | |
dc.title | Rumor detection in Bangla using machine learning & deep learning | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Department of Computer Science and Engineering, Brac University | |
dc.description.degree | B. Computer Science | |