Hate speech detection using machine learning techniques
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
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Brac University
2024
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| Online pristup: | http://hdl.handle.net/10361/23620 |
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10361-236202024-06-27T21:02:31Z Hate speech detection using machine learning techniques Manzoor, Tahbib Araf, Md. Wahidur Rahman Omi, Monjurul Sharker Abir, Arpan Das Abir, Tanvir Ahmed Ashraf, Faisal Bin Department of Computer Science and Engineering, Brac University Social media Hate speech Detection Methodology Machine learning This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 48-49). Social media and sharing platforms are improving in tandem with the internet. Although, humanity has bene ted from these platforms in a variety of ways. However, many people were faced with a variety of obstacles and con icts while using social media. As a result, the usage of derogatory language and hate speech has skyrocketed, posing a major threat. As a result, many varieties of machine language have been developed to overcome this challenge. Hate speech is de ned as the use of slang or insulting phrases directed against a speci c person, race, or any religion. Hate speech and other hate content can be detected using the suggested methodology on platforms like Facebook. Our goal is to develop a model that can identify such actions with more precision so that our current and future generations are not subjected to this scourge. Tahbib Manzoor Monjurul Sharker Omi Arpan Das Abir Tanvir Ahmed Abir B.Sc in Computer Science 2024-06-27T05:54:01Z 2024-06-27T05:54:01Z 2022 2022-05 Thesis ID 17101147 ID 17101404 ID 18301017 ID 18101526 ID 18301060 http://hdl.handle.net/10361/23620 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. 49 pages application/pdf Brac University |
| institution |
Brac University |
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Institutional Repository |
| language |
English |
| topic |
Social media Hate speech Detection Methodology Machine learning |
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Social media Hate speech Detection Methodology Machine learning Manzoor, Tahbib Araf, Md. Wahidur Rahman Omi, Monjurul Sharker Abir, Arpan Das Abir, Tanvir Ahmed Hate speech detection using machine learning techniques |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. |
| author2 |
Ashraf, Faisal Bin |
| author_facet |
Ashraf, Faisal Bin Manzoor, Tahbib Araf, Md. Wahidur Rahman Omi, Monjurul Sharker Abir, Arpan Das Abir, Tanvir Ahmed |
| format |
Thesis |
| author |
Manzoor, Tahbib Araf, Md. Wahidur Rahman Omi, Monjurul Sharker Abir, Arpan Das Abir, Tanvir Ahmed |
| author_sort |
Manzoor, Tahbib |
| title |
Hate speech detection using machine learning techniques |
| title_short |
Hate speech detection using machine learning techniques |
| title_full |
Hate speech detection using machine learning techniques |
| title_fullStr |
Hate speech detection using machine learning techniques |
| title_full_unstemmed |
Hate speech detection using machine learning techniques |
| title_sort |
hate speech detection using machine learning techniques |
| publisher |
Brac University |
| publishDate |
2024 |
| url |
http://hdl.handle.net/10361/23620 |
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AT manzoortahbib hatespeechdetectionusingmachinelearningtechniques AT arafmdwahidurrahman hatespeechdetectionusingmachinelearningtechniques AT omimonjurulsharker hatespeechdetectionusingmachinelearningtechniques AT abirarpandas hatespeechdetectionusingmachinelearningtechniques AT abirtanvirahmed hatespeechdetectionusingmachinelearningtechniques |
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1814308272882057216 |