PR2: A Language Independent Unsupervised Tool for Personality Recognition from Text

2014/02/12 by Fabio Celli, Celli, Fabio, Massimo Poesio +1 · 1 citation
Computer Science · Psychology · #Authorship Attribution and Profiling #Computation and Language (cs.CL) #FOS: Computer and information sciences #Humor Studies and Applications #Personality Traits and Psychology #cs.CL

paper · pdf · doi:10.48550/arxiv.1402.2796

4 pages, peer reviewed

arxiv created 2014/02/12 · openalex publication_date 2014/02/12 · arxiv updated 2014/02/13 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28

Abstract

We present PR2, a personality recognition system available online, that performs instance-based classification of Big5 personality types from unstructured text, using language-independent features. It has been tested on English and Italian, achieving performances up to f=.68.

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