A multi-label, semi-supervised classification approach applied to personality prediction in social media
Abstract
Social media allow web users to create and share content pertaining to different subjects, exposing their activities, opinions, feelings and thoughts. In this context, online social media has attracted the interest of data scientists seeking to understand behaviours and trends, whilst collecting statistics for social sites. One potential application for these data is personality prediction, which aims to understand a user's behaviour within...
Paper Details
Title
A multi-label, semi-supervised classification approach applied to personality prediction in social media
Published Date
Oct 1, 2014
Journal
Volume
58
Pages
122 - 130
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Notes
History