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.
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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. ↩