Ontology Modelling Approach for Personality Measurement Based on Social Media Activity

A. Alamsyah, M. R. Dwi Putra, D. Fadhilah, F. Nurwianti, Ening Ningsih
{"title":"Ontology Modelling Approach for Personality Measurement Based on Social Media Activity","authors":"A. Alamsyah, M. R. Dwi Putra, D. Fadhilah, F. Nurwianti, Ening Ningsih","doi":"10.1109/ICOICT.2018.8528800","DOIUrl":null,"url":null,"abstract":"The advancement of technology has affected human behavior. Social media has become a prominent platform for our lives to share opinion, thoughts, and information. Those activities are stored as a digital trace. Meanwhile in linguistic approach, the unique way of people writing is able to reveal the real personality. The open access data on social media give us an opportunity to assess the characteristic of a person based on a digital trace. The human personality has been classified according to Five Factor Model (FFM). We propose the ontology modeling approach to measure human personality using social media data, particularly in Bahasa Indonesia. The present personality measurement commonly use a test or questionnaire survey. This research enriches current methodology to measure human personality by observing writing and linguistic usage on Twitter. The result is beneficial for marketing study to forecast consumer behavior. It also valuable fo human resources study to decide employee's recruitment and promotion.","PeriodicalId":266335,"journal":{"name":"2018 6th International Conference on Information and Communication Technology (ICoICT)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 6th International Conference on Information and Communication Technology (ICoICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOICT.2018.8528800","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

The advancement of technology has affected human behavior. Social media has become a prominent platform for our lives to share opinion, thoughts, and information. Those activities are stored as a digital trace. Meanwhile in linguistic approach, the unique way of people writing is able to reveal the real personality. The open access data on social media give us an opportunity to assess the characteristic of a person based on a digital trace. The human personality has been classified according to Five Factor Model (FFM). We propose the ontology modeling approach to measure human personality using social media data, particularly in Bahasa Indonesia. The present personality measurement commonly use a test or questionnaire survey. This research enriches current methodology to measure human personality by observing writing and linguistic usage on Twitter. The result is beneficial for marketing study to forecast consumer behavior. It also valuable fo human resources study to decide employee's recruitment and promotion.
基于社交媒体活动的人格测量本体建模方法
科技的进步影响了人类的行为。社交媒体已经成为我们生活中分享观点、想法和信息的重要平台。这些活动以数字痕迹的形式存储。同时,从语言学角度来看,人们独特的写作方式能够揭示出真实的个性。社交媒体上的开放获取数据让我们有机会根据数字痕迹来评估一个人的特征。根据五因素模型(FFM)对人的性格进行了分类。我们提出了使用社交媒体数据来测量人类个性的本体建模方法,特别是在印尼语中。目前的人格测量一般采用测验或问卷调查。这项研究丰富了目前通过观察Twitter上的写作和语言使用来衡量人类个性的方法。研究结果有利于市场营销研究预测消费者行为。人力资源研究对决定员工的招聘和晋升也有一定的参考价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信