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