Big Five (OCEAN) Personality Profiling

Overview

Infer Big Five personality trait positions from linguistic markers in a text corpus, then map each trait to concrete writing style constraints for voice replication. The core principle: personality influences word choice in measurable but modest ways -- the mean absolute correlation between Big Five traits and LIWC categories is ~0.14 (Yarkoni, 2010), with the strongest single correlation at ~0.23. This means text-based personality inference reveals tendencies, never diagnoses. Treat all outputs as relative positions on a continuum with wide confidence bands, not as fixed personality scores.

Research foundation: The 2022 meta-analysis by Stachl et al. in Psychological Bulletin (N = 85,724 across 26 studies) established that 20 linguistic categories constitute a "kernel of truth" correlating with both self- and observer-reported Big Five traits. Self-report correlations are small (|r| = .08-.14); observer-report correlations are small-to-medium (|r| = .18-.39). The 52 LIWC categories collectively explain ~5.1% of self-reported personality variance, but ~38.5% of observer-reported variance.

When to Use

• Characterizing an author's personality tendencies from a corpus of their writing
• Building a personality profile to inform writing style replication or voice matching
• Quantifying linguistic markers associated with each OCEAN dimension
• Comparing a writing sample's trait indicators against population baselines
• Feeding trait positions into archetype classification or persona construction

When NOT to use: