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Cyber Bullying Detection Using Machine Learning Utilizing Social Media Data

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dc.contributor.author Rakib, Md. Abdur
dc.contributor.author Rahman, Rashedur
dc.contributor.author Kobra, Khadiza- Tul-
dc.date.accessioned 2022-01-18T07:05:46Z
dc.date.available 2022-01-18T07:05:46Z
dc.date.issued 2021-03-30
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/6787
dc.description.abstract Harassment now a days become a headache for both men & women. Technological development makes our life easy, and harassment by using technological online platform become popular. This report centers to understand some aspect that related to the harassment by online which call cyberbullying. By the progressive of science of computer and application of machine learning, we attempt to find out a statistical possibility number of being cyberbullied by social media. By applying machine learning algorithms, we attempt to find out what is the main reasons of doing cyberbullying and which social media they get cyberbullied most. We gather around 1200 person’s data with various aspect. The information is taken from students, job holders. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Cyber bullying en_US
dc.subject Sexual harassment--Investigation en_US
dc.title Cyber Bullying Detection Using Machine Learning Utilizing Social Media Data en_US
dc.type Other en_US


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