Modelling personality prediction from user's posting on social media

Derwin Suhartono
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引用次数: 0

Abstract

Huge amount of user�s postings from social media becomes promising data that can be converted into new knowledge. One of which is to mining the information for predicting user�s personality. This task is able to get the real basic characteristics of people which nowadays surfs a lot in social media. Text becomes appropriate type of data to utilize as social media users tend to do texting for expressing their feelings, thoughts, as well as their emotions. The Big Five Personality Traits, also known as OCEAN, is one concept in psychology that is popular in the state-of-the-art research in personality prediction. Research in personality modelling using text involve feature extraction methods as well as deep learning-related architecture are appealing to be much further enhanced. Finally, promising research result is indicated to happen in the future such that actual personality of a person is possible to observe.
根据用户在社交媒体上的帖子进行个性预测建模
大量来自社交媒体的用户帖子成为有价值的数据,可以转化为新的知识。其中之一是挖掘信息,预测用户的个性。这个任务能够得到现在在社交媒体上冲浪的人的真实基本特征。当社交媒体用户倾向于通过发短信来表达他们的感受、想法和情感时,文本就成为了一种合适的数据类型。五大人格特质,也被称为OCEAN,是心理学中的一个概念,在最先进的人格预测研究中很受欢迎。基于文本的人格建模研究涉及特征提取方法以及与深度学习相关的体系结构,有待进一步加强。最后,有希望的研究结果表明,在未来发生,这样一个人的实际个性是有可能观察到的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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