Accuracy (ACC) and F-measure (F) for LIWC with 25 features.

Summary of the papers found related to temperament classification.

Accuracy (ACC), F-measure (F) and AUC for Twitter with 5 features.

Cooperation is central to human existence, forming the bedrock of everyday social relationships and larger societal structures. Thus, understanding the psychological...

Percentages indicate how often a metric for a reply is larger than the corresponding metric for the replied comment. If the percentage is negative the difference between the two...

Regular editors express more negative emotion, and are more emotional. Numbers under the editor class names correspond to the average values over all editors in a given class...

Previous studies demonstrated the positive effects of smiling on interpersonal outcomes. The present research examined if enhancing one’s smile in a virtual environment could...

Accuracy (ACC), F-measure (F) and AUC for LIWC with 27 features in MBTI prediction.

Ratio between the various MBTI types of users.

Accuracy (ACC), F-measure (F) and AUC for MRC with 16 features in MBTI prediction.

All scores are statistically significant (.

LIWC variables with less than 0.8 mean correlation of word proportions.

All scores are statistically significant (.

Description of LIWC measures (as per http://www.liwc.net).

Accuracy (ACC), F-measure (F) and AUC for the Random Forest in MBTI prediction.

Accuracy (ACC), F-measure (F) and AUC for ONLP with 24 features.

Numbers under the editor class names correspond to the average values over all editors in a given class. When the difference is statistically significant (p-value in bold) the...

Numbers under the editor class names correspond to the average values over all editors in a given class (sample size 1 623 administrators: 1 526 men, 97 women). When the...

Mean correlations of word proportions across LIWC categories and languages.

Accuracy (ACC), F-measure (F) and AUC for ONLP with 22 features in MBTI prediction.