@article {Ahmad:2017:1936-6612:7900,
title = "Personality Prediction of Malaysian Facebook Users: Cultural Preferences and Features Variation",
journal = "Advanced Science Letters",
parent_itemid = "infobike://asp/asl",
publishercode ="asp",
year = "2017",
volume = "23",
number = "8",
publication date ="2017-08-01T00:00:00",
pages = "7900-7903",
itemtype = "ARTICLE",
issn = "1936-6612",
url = "https://www.ingentaconnect.com/content/asp/asl/2017/00000023/00000008/art00221",
doi = "doi:10.1166/asl.2017.9604",
keyword = "Natural Language Processing, Personality Prediction, Facebook, Text Classification",
author = "Ahmad, Zaaba and Lutfi, Syaheerah Lebai and Kushan, Albin Lemuel and Yixing, Randall Tay",
abstract = "Social media offer sample information for automatic personality prediction (APP). Users freely share their public information on social media. Apart from that, their usage behaviour also provide a rich source of data for prediction. Automatic prediction of personality trait is vital
to improve the user experience and to tailor social media services to users needs and preferences. The study in APP based on social media data has thus far focused on Western countries such as the United States and Europe and there is little to no work done in South East Asia, much
less in Malaysia. Hence, this paper aims to predict user traits based on social media by gathering certain information pertaining social network usage behaviour based on features such as likes, number of comments, number of friends, etc. A persons personality is described by the characteristics
of extraversion and neuroticism main features that can be seen as an echo of communications behaviour. Personality traits of extraversion, neuroticism and shyness will be the focus, as Malaysians are known to be shy and passive. Therefore, the above mentioned features will not only be explored
in a more detailed scope, but also focused on other factors or behaviours that constitute shyness.",
}