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

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arxiv 1402.2796 v1 pith:EW7YWPPC submitted 2014-02-12 cs.CL

Fabio Celli , Massimo Poesio This is my paper · ORCID
classification cs.CL
keywords personalityrecognitiontextachievingavailablebeenbig5classification
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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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  1. Recent Trends in Deep Learning Based Personality Detection

    cs.LG 2019-08 conditional novelty 2.0 of 10

    A survey of deep learning methods for personality detection from text, audio, visual, and multimodal data, covering datasets, applications, and reported performance.

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