New Approach of Measuring Human Personality Traits Using Ontology-Based Model from Social Media Data
Andry Alamsyah,Nidya Dudija, Sri Widiyanesti

Informasi Umum

Kode

24.55.019

Klasifikasi

300.285 - Data Analysis of Social Science

Jenis

e - Article Journal

Subjek

Social Networks, Analysis,

No. Rak

6b

Dilihat

7 kali

Informasi Lainnya

Abstraksi

Human online activities leave digital traces that provide a perfect opportunity to understand their behavior better. Social media is an excellent place to spark conversations or state opinions. Thus, it generates large-scale textual data. In this paper, we harness those data to support the effort of personality measurement. Our first contribution is to develop the Big Five personality traitbased model to detect human personalities from their textual data in the Indonesian language. The model uses an ontology approach instead of the more famous machine learning model. The former better captures the meaning and intention of phrases and words in the domain of human personality. The legacy and more thorough ways to assess nature are by doing interviews or by giving questionnaires. Still, there are many real-life applications where we need to possess an alternative method, which is cheaper and faster than the legacy methodology to select individuals based on their personality. The second contribution is to support the model implementation by building a personality measurement platform. We use two distinct features for the model: an n-gram sorting algorithm to parse the textual data and a crowdsourcing mechanism that facilitates public involvement contributing to the ontology corpus addition and filtering.

Koleksi & Sirkulasi

Tersedia 1 dari total 1 Koleksi

Pengarang

Nama	Andry Alamsyah,Nidya Dudija, Sri Widiyanesti
Jenis	Perorangan
Penyunting
Penerjemah

Penerbit

Nama	ResearchGate
Kota	New York
Tahun	2021

Sirkulasi

Harga sewa	IDR 0,00
Denda harian	IDR 0,00
Jenis	Non-Sirkulasi

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