Novel approach to detect hate speech and profanity on online platforms
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
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| Språk: | Spanish / Castilian |
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Brac University
2022
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| Länkar: | http://hdl.handle.net/10361/16801 |
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10361-168012022-06-01T21:02:14Z Novel approach to detect hate speech and profanity on online platforms Pritha, Barha Meherun Islam, Samin Alam, Tabassum Kabir, Md Rayhan Sakeef, Nazmus Department of Computer Science and Engineering, Brac University Detection Hate speech Profanity Vectorization Word-embedding BiLSTM Machine learning Automatic speech recognition. 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 29-30). Hate speech is becoming more prominent and dominant in the virtual world, with the popularity of social media increasing day by day. People nowadays have various online platforms where they can express their hatred and write offensive speech in the safety of their home. They could even spread false rumors and incite hatred out of nothing. Cyberbullies often verbally attack the sentiments of people with different race, nationality, gender, beliefs and political views. They could also target young children and teenagers. It is also important to note that profane language or some sensitive topic may be bothersome when reached in front of young children and teenagers. It has become necessary for modern technology to detect all those profane and hate speeches so that they can be filtered or removed automatically before they can appear in front of young children or hurt the sentiments of targeted people. However, even though it is easy to detect profanities, it could be difficult to detect all the hate speeches which do not have any offensive or sensitive keywords. It is possible to spot all sorts of hate speeches on social media through the application of machine learning, neural networks and natural language processing. In our study, to identify and recognize hate speeches we will use various models and algorithms. Then we will design and implement an algorithm which will be able to detect hate speech and profane language more efficiently. Barha Meherun Pritha Samin Islam Tabassum Alam B. Computer Science 2022-06-01T08:29:07Z 2022-06-01T08:29:07Z 2021 2021-09 Thesis ID 18101232 ID 18101444 ID 18101235 http://hdl.handle.net/10361/16801 es 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. 30 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
Spanish / Castilian |
| topic |
Detection Hate speech Profanity Vectorization Word-embedding BiLSTM Machine learning Automatic speech recognition. |
| spellingShingle |
Detection Hate speech Profanity Vectorization Word-embedding BiLSTM Machine learning Automatic speech recognition. Pritha, Barha Meherun Islam, Samin Alam, Tabassum Novel approach to detect hate speech and profanity on online platforms |
| 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 |
Kabir, Md Rayhan |
| author_facet |
Kabir, Md Rayhan Pritha, Barha Meherun Islam, Samin Alam, Tabassum |
| format |
Thesis |
| author |
Pritha, Barha Meherun Islam, Samin Alam, Tabassum |
| author_sort |
Pritha, Barha Meherun |
| title |
Novel approach to detect hate speech and profanity on online platforms |
| title_short |
Novel approach to detect hate speech and profanity on online platforms |
| title_full |
Novel approach to detect hate speech and profanity on online platforms |
| title_fullStr |
Novel approach to detect hate speech and profanity on online platforms |
| title_full_unstemmed |
Novel approach to detect hate speech and profanity on online platforms |
| title_sort |
novel approach to detect hate speech and profanity on online platforms |
| publisher |
Brac University |
| publishDate |
2022 |
| url |
http://hdl.handle.net/10361/16801 |
| work_keys_str_mv |
AT prithabarhameherun novelapproachtodetecthatespeechandprofanityononlineplatforms AT islamsamin novelapproachtodetecthatespeechandprofanityononlineplatforms AT alamtabassum novelapproachtodetecthatespeechandprofanityononlineplatforms |
| _version_ |
1814309054469636096 |