You tube spam comment detection using support vector machine and k–nearest neighbor
Social networking such as YouTube, Facebook and others are very popular nowadays. The best thing about YouTube is user can subscribe also giving opinion on the comment section. However, this attract the spammer by spamming the comments on that videos. Thus, this study develop a YouTube detection fra...
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| Format: | Article |
| Language: | en |
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Institute of Advanced Engineering and Science (IAES)
2017
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/4905/1/AJ%202017%20%28693%29.pdf http://eprints.uthm.edu.my/4905/ http://doi.org/10.11591/ijeecs.v12.i2.pp612-619 |
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| author | Aziz, Aqliima Mohd Foozy, Cik Feresa Palaniappan, Shamala Suradi, Zurinah |
| author_facet | Aziz, Aqliima Mohd Foozy, Cik Feresa Palaniappan, Shamala Suradi, Zurinah |
| author_sort | Aziz, Aqliima |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Social networking such as YouTube, Facebook and others are very popular nowadays. The best thing about YouTube is user can subscribe also giving opinion on the comment section. However, this attract the spammer by spamming the comments on that videos. Thus, this study develop a YouTube detection framework by using Support Vector Machine (SVM) and K-Nearest Neighbor (k-NN). There are five (5) phases involved in this research such as Data Collection, Pre-processing, Feature Selection, Classification and Detection. The experiments is done by using Weka and RapidMiner. The accuracy result of SVM and KNN by using both machine learning tools show good accuracy result. Others solution to avoid spam attack is trying not to click the link on comments to avoid any problems |
| format | Article |
| id | my.uthm.eprints-4905 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2017 |
| publisher | Institute of Advanced Engineering and Science (IAES) |
| record_format | eprints |
| spelling | my.uthm.eprints-49052021-12-23T06:57:13Z http://eprints.uthm.edu.my/4905/ You tube spam comment detection using support vector machine and k–nearest neighbor Aziz, Aqliima Mohd Foozy, Cik Feresa Palaniappan, Shamala Suradi, Zurinah T Technology (General) TK7800-8360 Electronics Social networking such as YouTube, Facebook and others are very popular nowadays. The best thing about YouTube is user can subscribe also giving opinion on the comment section. However, this attract the spammer by spamming the comments on that videos. Thus, this study develop a YouTube detection framework by using Support Vector Machine (SVM) and K-Nearest Neighbor (k-NN). There are five (5) phases involved in this research such as Data Collection, Pre-processing, Feature Selection, Classification and Detection. The experiments is done by using Weka and RapidMiner. The accuracy result of SVM and KNN by using both machine learning tools show good accuracy result. Others solution to avoid spam attack is trying not to click the link on comments to avoid any problems Institute of Advanced Engineering and Science (IAES) 2017 Article PeerReviewed text en http://eprints.uthm.edu.my/4905/1/AJ%202017%20%28693%29.pdf Aziz, Aqliima and Mohd Foozy, Cik Feresa and Palaniappan, Shamala and Suradi, Zurinah (2017) You tube spam comment detection using support vector machine and k–nearest neighbor. Indonesian Journal of Electrical Engineering and Computer Science, 12 (2). pp. 612-619. ISSN 2502-4752 http://doi.org/10.11591/ijeecs.v12.i2.pp612-619 |
| spellingShingle | T Technology (General) TK7800-8360 Electronics Aziz, Aqliima Mohd Foozy, Cik Feresa Palaniappan, Shamala Suradi, Zurinah You tube spam comment detection using support vector machine and k–nearest neighbor |
| title | You tube spam comment detection using support vector machine and k–nearest neighbor |
| title_full | You tube spam comment detection using support vector machine and k–nearest neighbor |
| title_fullStr | You tube spam comment detection using support vector machine and k–nearest neighbor |
| title_full_unstemmed | You tube spam comment detection using support vector machine and k–nearest neighbor |
| title_short | You tube spam comment detection using support vector machine and k–nearest neighbor |
| title_sort | you tube spam comment detection using support vector machine and k–nearest neighbor |
| topic | T Technology (General) TK7800-8360 Electronics |
| url | http://eprints.uthm.edu.my/4905/1/AJ%202017%20%28693%29.pdf http://eprints.uthm.edu.my/4905/ http://doi.org/10.11591/ijeecs.v12.i2.pp612-619 |
| url_provider | http://eprints.uthm.edu.my/ |