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.

Sonraí bibleagrafaíochta
Príomhchruthaitheoirí:	Sraboni, Tasnuba, Uddin, Md. Rifat, Shahriar, Fahim, Rizon, Ruhit Ahmed, Polock, Shakib Ibna Shameem
Rannpháirtithe:	Hossain, Muhammad Iqbal
Formáid:	Tráchtas
Teanga:	English
Foilsithe / Cruthaithe:	Brac University 2021
Ábhair:	Fake News Bangla Fake News Machine Learning NLP Tf-IDF Passive Aggressive Classifier Machine learning
Rochtain ar líne:	http://hdl.handle.net/10361/14979

id	10361-14979
record_format	dspace
spelling	10361-149792022-01-26T10:04:54Z FakeDetect: Bangla fake news detection model based on different machine learning classifiers Sraboni, Tasnuba Uddin, Md. Rifat Shahriar, Fahim Rizon, Ruhit Ahmed Polock, Shakib Ibna Shameem Hossain, Muhammad Iqbal Alam, Md. Golam Rabiul Department of Computer Science and Engineering, Brac University Fake News Bangla Fake News Machine Learning NLP Tf-IDF Passive Aggressive Classifier Machine learning This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. Cataloged from PDF version of thesis. Includes bibliographical references (pages 33-34). Information is power although fake information can have severe consequences when it gets viral. Living in the era of social media is like always getting influenced by the news of the online world even though it is fake. Moreover, online news portals and social media are becoming standardized for consuming information. It is effortless to spread fake news using these mediums. Fake news is represented as authentic news with the wrapping of inaccurate information. In recent times, the rate of lynching has increased because of the spread of fake news. Besides, COVID19 related false information is affecting people by creating chaos and spreading panic worldwide. Some fake news automation systems exist to tackle this problem. However, they are largely developed for English. There are hundreds of millions of people who speak Bangla worldwide. In this work, we propose a model that can favorably detect fake news in Bangla. We have applied some pre-processing and feature extraction techniques to our dataset. Experimental analysis on real-world data demonstrates that Passive Aggressive Classifier and Support Vector Machine achieves 93.8% and 93.5% accuracy respectively which are higher than the other Machine Learning classifiers. Tasnuba Sraboni Md. Rifat Uddin Fahim Shahriar Ruhit Ahmed Rizon Shakib Ibna Shameem Polock B. Computer Science 2021-09-06T12:50:15Z 2021-09-06T12:50:15Z 2021 2021-06 Thesis ID 17301017 ID 17101016 ID 21141084 ID 17101050 ID 17101435 http://hdl.handle.net/10361/14979 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. 34 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	Fake News Bangla Fake News Machine Learning NLP Tf-IDF Passive Aggressive Classifier Machine learning
spellingShingle	Fake News Bangla Fake News Machine Learning NLP Tf-IDF Passive Aggressive Classifier Machine learning Sraboni, Tasnuba Uddin, Md. Rifat Shahriar, Fahim Rizon, Ruhit Ahmed Polock, Shakib Ibna Shameem FakeDetect: Bangla fake news detection model based on different machine learning classifiers
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
author2	Hossain, Muhammad Iqbal
author_facet	Hossain, Muhammad Iqbal Sraboni, Tasnuba Uddin, Md. Rifat Shahriar, Fahim Rizon, Ruhit Ahmed Polock, Shakib Ibna Shameem
format	Thesis
author	Sraboni, Tasnuba Uddin, Md. Rifat Shahriar, Fahim Rizon, Ruhit Ahmed Polock, Shakib Ibna Shameem
author_sort	Sraboni, Tasnuba
title	FakeDetect: Bangla fake news detection model based on different machine learning classifiers
title_short	FakeDetect: Bangla fake news detection model based on different machine learning classifiers
title_full	FakeDetect: Bangla fake news detection model based on different machine learning classifiers
title_fullStr	FakeDetect: Bangla fake news detection model based on different machine learning classifiers
title_full_unstemmed	FakeDetect: Bangla fake news detection model based on different machine learning classifiers
title_sort	fakedetect: bangla fake news detection model based on different machine learning classifiers
publisher	Brac University
publishDate	2021
url	http://hdl.handle.net/10361/14979
work_keys_str_mv	AT srabonitasnuba fakedetectbanglafakenewsdetectionmodelbasedondifferentmachinelearningclassifiers AT uddinmdrifat fakedetectbanglafakenewsdetectionmodelbasedondifferentmachinelearningclassifiers AT shahriarfahim fakedetectbanglafakenewsdetectionmodelbasedondifferentmachinelearningclassifiers AT rizonruhitahmed fakedetectbanglafakenewsdetectionmodelbasedondifferentmachinelearningclassifiers AT polockshakibibnashameem fakedetectbanglafakenewsdetectionmodelbasedondifferentmachinelearningclassifiers
_version_	1814306992119873536

FakeDetect: Bangla fake news detection model based on different machine learning classifiers

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