TxPI-u: A Resource for Personality Identification of Undergraduates1footnote 11footnote 1Preprint of [24]. The final publication is available at IOS Press through https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs169484
Table 8: Number of subjects per trait in the Essays corpus. Note that labels yes and no correspond to high and low, respectively
['Trait', 'yes', 'no']
only the nominal class “ yes” or “no” was provided (the class “yes” is similar to our class “high” and the class “no” is similar to our class “low”). With numerical values of personality’s traits another normative values can be used to generate other partition of nominal classes or, a regression approach can be used to determined such values instead of just closed categories.