Personality Classi?cation of Facebook Users According to Big Five Personality Using SVM (Support Vector Machine) Method

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57 kali
20.04.4254
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Karya Ilmiah - Skripsi (S1) - Reference

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.

Subjek

DATA MINING
 

Katalog

Personality Classi?cation of Facebook Users According to Big Five Personality Using SVM (Support Vector Machine) Method
 
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Indonesia

Sirkulasi

Rp. 0
Rp. 0
Tidak

Pengarang

NINDA ANGGORO UTAMI
Perorangan
Warih Maharani, Imelda Atastina
 

Penerbit

Universitas Telkom, S1 Informatika
Bandung
2020

Koleksi

Kompetensi

 

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