Evaluation Metrics for Inferring Personality from Text
There have been a rich variety of studies of the relationship between speaker or author language usage and human personality. With each additional effort, the hope is that we will better identify text features consistently predictive of personality across domains, and identify the appropriate modeling techniques to convert those features into predictions about personality. However because each study uses different data from often very different domains, it is impossible to directly compare personality prediction algorithms.
UMAP