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 | en_US | |
dc.title | Cyberbullying text classification using deep learning | en_US |
dc.type | Thesis | en_US |