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Behavioral traits classification

The document classification API resources corresponding to the behavioral-traits taxonomy recognize references to personality traits—like curiosity, honesty, negativity, etc.—of the people mentioned in the text. They can recognize 72 different traits divided into seven super-groups with three sub-groups each.

In the design phase, the behavioral traits to be identified were chosen based on the Big Five and by considering real world applications and recent papers on the subject1.

You can find the category tree for this taxonomy in the reference section.
Here is an excerpt:

...
Action
    Action low
        Sedentariness
        Passivity
    Action fair
        Calmness
    Action high
        Initiative
        Dynamism
Openness
    Openness low
        Rejection
        Apathy
        Apprehension
        Traditionalism
        Conformism
        Negativity
        Bias
    Openness fair
        Cautiousness
    Openness high
        Progressiveness
        Acceptance
        Courage
        Positivity
        Curiosity
...

Categories at the first and second level of the hierarchy function as super-groups and sub-groups.
Only the categories at the third level of the hierarchy—the leaf categories—are returned in the output, but the full path starting from the super-group is returned as an additional property for each category.

Warning

Grouping is purely ontological. The names of the groups have no positive or negative connotations: in particular, the high, fair and low qualifications in sub-groups are not to be interpreted as a moral judgment, but as the intensity with which encompassed behavioral traits represent the super-group.


  1. N. Najm, "Big Five Traits: A Critical Review", Gadjah Mada International Journal of Business, September 2019.
    R. M. S. Ramos, G. B. S. Neto, B. B. C. Silva, D. S. Monteiro, I. Paraboni, R. F. S. Dias, "Building a Corpus for Personality-dependent Natural Language Understanding and Generation", Lrec conference proceedings, 2018.
    K. Luyckx, W. Daelemans, "Personae: a corpus for author and personality prediction from text", Lrec conference proceedings, 2008.
    F. Celli, "Adaptive Personality Recognition from Text", PhD Thesis, University of Trento, 2012.