Personality Classi?cation of Facebook Users According to Big Five Personality Using SVM (Support Vector Machine) Method
NINDA ANGGORO UTAMI
Informasi Umum
Kode
20.04.4254
Klasifikasi
006.312 - Data mining
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Data Mining
Dilihat
33 kali
Informasi Lainnya
Abstraksi
Social media has become one of the most important things in daily life to communicate, show expression and exchange information. Facebook is one of the most widely used social media. This research focuses on classifying the personality of Facebook users into one of the Big Five Personality Traits. there are 170 volunteers who are Facebook users who have been asked to fill out the Big Five Inventory questionnaire and have allowed their data to be scraped. Based on the data collected, the classifier is built using data mining techniques using Support Vector Machine (SVM) that aim to find out someone's personality based on a Facebook account without having to fill in any questionnaire. The best accuracy results in this study with a classification model that has been built at 87.5% using the Radial Basis Function (RBF) kernel.
Koleksi & Sirkulasi
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Pengarang
| Nama | NINDA ANGGORO UTAMI |
| Jenis | Perorangan |
| Penyunting | Warih Maharani, Imelda Atastina |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S1 Informatika |
| Kota | Bandung |
| Tahun | 2020 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
