Author
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Author 1
Yihua Du
Computer Network Information Center, Chinese Academy of Sciences, Beijing 100085, China
Summary
Edited Journals
IECE Contributions

Open Access | Research Article | 26 April 2025
Using Psycholinguistic Clues to Index Deep Semantic Evidences: Personality Detection in Social Media Texts
Chinese Journal of Information Fusion | Volume 2, Issue 2: 112-126, 2025 | DOI: 10.62762/CJIF.2025.820998
Abstract
Detecting personalities in social media content is an important application of personality psychology. Most early studies apply a coherent piece of writing to personality detection, but today, the challenge is to identify dominant personality traits from a series of short, noisy social media posts. To this end, recent studies have attempted to individually encode the deep semantics of posts, often using attention-based methods, and then relate them, or directly assemble them into graph structures. However, due to the inherently disjointed and noisy nature of social media content, constructing meaningful connections remains challenging. While such methods rely on well-defined relationships be... More >

Graphical Abstract
Using Psycholinguistic Clues to Index Deep Semantic Evidences: Personality Detection in Social Media Texts