Klasifikasi Ujaran Kebencian pada Media Sosial Twitter Menggunakan Support Vector Machine
Nowadays social media has become a place for peoples to express their opinions, there are many ways that can be done to express both positive and negative opinions. Hate speech is one of the problems that we find quite a lot in cyberspace, that things can be detrimental to many parties. Twitter as o...
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| Format: | Article |
| Language: | English |
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Ikatan Ahli Informatika Indonesia
2021-02-01
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| Series: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| Subjects: | |
| Online Access: | http://jurnal.iaii.or.id/index.php/RESTI/article/view/2700 |
| _version_ | 1797331524035543040 |
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| author | Oryza Habibie Rahman Gunawan Abdillah Agus Komarudin |
| author_facet | Oryza Habibie Rahman Gunawan Abdillah Agus Komarudin |
| author_sort | Oryza Habibie Rahman |
| collection | DOAJ |
| description | Nowadays social media has become a place for peoples to express their opinions, there are many ways that can be done to express both positive and negative opinions. Hate speech is one of the problems that we find quite a lot in cyberspace, that things can be detrimental to many parties. Twitter as one of social media, can be used as a source of analysis about people's behavior in cyberspace. Many of our society that unconsciously act of hate speech on social media, therefore this study finds out how people's behavior patterns in cyberspace and the main issue of hate speech on a particular topic and time period by classify it into five classes, namely ethnicity, religion, race, inter-groups and neutral using Support Vector Machine. In this study also compares three kernel that common to use and the result is the system can classify hate speech by using RBF kernel and got the highest result with 93% accuracy on 700 data train and 300 data test. |
| first_indexed | 2024-03-08T07:35:45Z |
| format | Article |
| id | doaj.art-f31ed0f442404ce99bf6459d972eb576 |
| institution | Directory Open Access Journal |
| issn | 2580-0760 |
| language | English |
| last_indexed | 2024-03-08T07:35:45Z |
| publishDate | 2021-02-01 |
| publisher | Ikatan Ahli Informatika Indonesia |
| record_format | Article |
| series | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| spelling | doaj.art-f31ed0f442404ce99bf6459d972eb5762024-02-02T19:04:36ZengIkatan Ahli Informatika IndonesiaJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)2580-07602021-02-0151172310.29207/resti.v5i1.27002700Klasifikasi Ujaran Kebencian pada Media Sosial Twitter Menggunakan Support Vector MachineOryza Habibie Rahman0Gunawan Abdillah1Agus Komarudin2Universitas Jenderal Achmad YaniUniversitas Jenderal Achmad Yani Universitas Jenderal Achmad YaniNowadays social media has become a place for peoples to express their opinions, there are many ways that can be done to express both positive and negative opinions. Hate speech is one of the problems that we find quite a lot in cyberspace, that things can be detrimental to many parties. Twitter as one of social media, can be used as a source of analysis about people's behavior in cyberspace. Many of our society that unconsciously act of hate speech on social media, therefore this study finds out how people's behavior patterns in cyberspace and the main issue of hate speech on a particular topic and time period by classify it into five classes, namely ethnicity, religion, race, inter-groups and neutral using Support Vector Machine. In this study also compares three kernel that common to use and the result is the system can classify hate speech by using RBF kernel and got the highest result with 93% accuracy on 700 data train and 300 data test.http://jurnal.iaii.or.id/index.php/RESTI/article/view/2700classificationsupport vector machinehate speechtwitterkernel |
| spellingShingle | Oryza Habibie Rahman Gunawan Abdillah Agus Komarudin Klasifikasi Ujaran Kebencian pada Media Sosial Twitter Menggunakan Support Vector Machine Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) classification support vector machine hate speech kernel |
| title | Klasifikasi Ujaran Kebencian pada Media Sosial Twitter Menggunakan Support Vector Machine |
| title_full | Klasifikasi Ujaran Kebencian pada Media Sosial Twitter Menggunakan Support Vector Machine |
| title_fullStr | Klasifikasi Ujaran Kebencian pada Media Sosial Twitter Menggunakan Support Vector Machine |
| title_full_unstemmed | Klasifikasi Ujaran Kebencian pada Media Sosial Twitter Menggunakan Support Vector Machine |
| title_short | Klasifikasi Ujaran Kebencian pada Media Sosial Twitter Menggunakan Support Vector Machine |
| title_sort | klasifikasi ujaran kebencian pada media sosial twitter menggunakan support vector machine |
| topic | classification support vector machine hate speech kernel |
| url | http://jurnal.iaii.or.id/index.php/RESTI/article/view/2700 |
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