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Cyberbullying text classification using deep learning

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dc.contributor.author Rathnayake, Wathma
dc.date.accessioned 2023-01-13T03:51:16Z
dc.date.available 2023-01-13T03:51:16Z
dc.date.issued 2022
dc.identifier.citation Rathnayake, Wathma (2022) Cyberbullying text classification using deep learning. MSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 20200381
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/1410
dc.description.abstract "Contributing to make the world a better place has always been one of my goals in life. As a researcher I explored my ways into machine learning and tried to find how I can identify harmful text content prior before releasing it to the outer world. In this research I performed text classification on tweets shared on twitter and performed machine learning algorithms like CNN and LSTM to classify them and introduced a third-party API to get the prediction that can be integrated into any system" en_US
dc.language.iso en en_US
dc.subject Text Classification en_US
dc.subject LSTM en_US
dc.subject Twitter en_US
dc.title Cyberbullying text classification using deep learning en_US
dc.type Thesis en_US


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