## 5 Results
### Feature Analysis
#### 5.1.4 Identifying Useful LIWC Dimensions
Since this overlap between the LIWC dimensions that correlate with two or more MBTI types ranges from 51.85% shared between the _J-P_ and _S-N_ types to 86.79% between the _E-I_ and _T-F_ types, we needed to analytically determine which LIWC dimensions best describe the relationship between MBTI types and the Big Five traits that correlate with them. However, we suggest that several factors can be considered in order to improve the results by helping to select the adequate LIWC dimensions for the feature set. The first factor is too high of a correlation with the MBTI type. While most of the correlations reported in Tables 10 and 11 tend to be marginally significant, those that have exceeded the absolute value of 0.2 indicate a stronger relationship with the MBTI type, and as such are not a good indicator of the relationship present between MBTI and Big Five models. The second factor is the degree of correlation between MBTI types themselves. If the LIWC category correlates with both of the MBTI types that tend to correlate with each other, that LIWC category should be disregarded from the feature set. Finally, the third factor is the relationship present between the LIWC dimensions themselves. If the LIWC dimensions correlate with one another, only a single one should be selected, as LIWC categories need to be statistically independent from one another. Using these three factors as criteria, we were left with the following list of LIWC dimensions that correlate with each of the four MBTI types:  
1. **Extroverted/Introverted (E-I)** type: * shehe--third person singular pronouns (she, her, him...) * incl--inclusive words (e.g., with, and...) * number--numbers (first, thousand...) * present--present tense verbs (is, does, do...) * posomo--words associated with positive emotions (love, happy, hope...) * pronoun--total pronouns (I, they, it...)
2. **Sensing/Intuitive (S-N)** type: * WPS--average words per sentence * past--past tense verbs (walked, were...) * social--social words (we, thank, care...) * ipron--impersonal pronouns (that, what, it...) * Colon--number of colons (:)
3. **Thinking/Feeling (T-F)** type: * you--second person singular pronouns (u, yourself, you...) * article--number of article (a, an, the...) * sad--words relating to sadness (:, cry...)
4. **Judging/Perceiving (J-P)** type: * Exclam--number of exclamations (!) * i--first person singular pronouns (me, myself, I...) * hear--auditory words (hear, sound...) * tentat--tentative phrases (if, any, something...)  
Combining these LIWC dimensions in combination with their respective MBTI types, we achieved results in predicting the Big Five traits, which are reported in Table 13.  
The results reported in Table 13 indicate that choosing LIWC dimensions with the method we described can further increase the results when predicting Big Five traits, especially in cases when the MBTI type and the Big Five trait have been found to statistically correlate with one other. This is visible for all the MBTI types as the prediction results for _Openness_ increased when using LIWC dimensions that were selected for the _S-N_ type, _Agreeableness_ increased when using LIWC features for _T-F_, and so on. However, it should be noted that, despite the prediction scores for the _Neuroticism_ trait increasing when using LIWC dimensions selected for the _E-I_ and _S-N_ types, we propose that this can be attributedeither to a possible relationship between Enneagram and _Neuroticism_ or due to the nature of the data, as _Neuroticism_ is the only trait to follow a bimodal distribution in this dataset (Figure 6). Unlike the MBTI types, Enneagram types have shown no presence of a statistically significant correlation with any of the LIWC dimensions.