Learning Personality Traits From Facebook Text

被引：17
|
作者：
Silva, B. [1 ]
Paraboni, I [1 ]
机构：
[1] Univ Sao Paulo, EACH, Sao Paulo, Brazil
来源：
IEEE LATIN AMERICA TRANSACTIONS | 2018年 / 16卷 / 04期
关键词：
Natural Language Processing; Personality Recognition; Big Five;
D O I：
10.1109/TLA.2018.8362165
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a study on the recognition of personality traits from text in Brazilian Portuguese obtained from Facebook. Based on the well-known Big Five model of personality, we collected a basic linguistic-computational resource - which can be seen as a corpus of texts and personality inventories - and then use this resource to build supervised models of personality recognition from Facebook status updates. Results suggest that certain Big Five personality traits may be reliably learned from Facebook text, and pave the way for the future development of non-intrusive personality recognition systems for the Portuguese language.
引用
收藏
页码：1256 / 1262
页数：7
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