Rumor detection in Bangla using machine learning & deep learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Ahmed, Md Istiaq, Anoy, Shoumik Malakar, Nusrat, Elham, Ahmed, Risat
مؤلفون آخرون: Rasel, Annajiat Alim
التنسيق: أطروحة
اللغة:English
منشور في: Brac University 2023
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/10361/18001
id 10361-18001
record_format dspace
spelling 10361-180012023-03-22T21:01:46Z Rumor detection in Bangla using machine learning & deep learning Ahmed, Md Istiaq Anoy, Shoumik Malakar Nusrat, Elham Ahmed, Risat Rasel, Annajiat Alim Mukta, Jannatun Noor Department of Computer Science and Engineering, Brac University Rumor Hoax Misinformation Fake news Classification models Natural language processing CNN RNN Artificial intelligence Machine learning Cognitive learning theory This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 68-71). 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. Md Istiaq Ahmed Shoumik Malakar Anoy Elham Nusrat Risat Ahmed B. Computer Science 2023-03-22T05:47:32Z 2023-03-22T05:47:32Z 2022 2022-05 Thesis ID 18101139 ID 18101191 ID 18301265 ID 18101713 http://hdl.handle.net/10361/18001 en 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. 71 pages application/pdf Brac University
institution Brac University
collection Institutional Repository
language English
topic Rumor
Hoax
Misinformation
Fake news
Classification models
Natural language processing
CNN
RNN
Artificial intelligence
Machine learning
Cognitive learning theory
spellingShingle Rumor
Hoax
Misinformation
Fake news
Classification models
Natural language processing
CNN
RNN
Artificial intelligence
Machine learning
Cognitive learning theory
Ahmed, Md Istiaq
Anoy, Shoumik Malakar
Nusrat, Elham
Ahmed, Risat
Rumor detection in Bangla using machine learning & deep learning
description This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.
author2 Rasel, Annajiat Alim
author_facet Rasel, Annajiat Alim
Ahmed, Md Istiaq
Anoy, Shoumik Malakar
Nusrat, Elham
Ahmed, Risat
format Thesis
author Ahmed, Md Istiaq
Anoy, Shoumik Malakar
Nusrat, Elham
Ahmed, Risat
author_sort Ahmed, Md Istiaq
title Rumor detection in Bangla using machine learning & deep learning
title_short Rumor detection in Bangla using machine learning & deep learning
title_full Rumor detection in Bangla using machine learning & deep learning
title_fullStr Rumor detection in Bangla using machine learning & deep learning
title_full_unstemmed Rumor detection in Bangla using machine learning & deep learning
title_sort rumor detection in bangla using machine learning & deep learning
publisher Brac University
publishDate 2023
url http://hdl.handle.net/10361/18001
work_keys_str_mv AT ahmedmdistiaq rumordetectioninbanglausingmachinelearningdeeplearning
AT anoyshoumikmalakar rumordetectioninbanglausingmachinelearningdeeplearning
AT nusratelham rumordetectioninbanglausingmachinelearningdeeplearning
AT ahmedrisat rumordetectioninbanglausingmachinelearningdeeplearning
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