PR2: A Language Independent Unsupervised Tool for Personality Recognition from Text
This provides a practical tool for researchers and practitioners in psychology or NLP to analyze personality from text across languages, though it appears incremental as it builds on existing instance-based and language-independent approaches.
The authors tackled personality recognition from text by developing PR2, a language-independent tool that classifies Big5 personality types using instance-based methods, achieving an F-score of up to 0.68 in tests on English and Italian.
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.