Hernandez, Rayne & Ian Scott Knight. (2017). Predicting Myers-Briggs Type Indicator with Text Classification. 31st Conference on Neural Information Processing Systems (NIPS 2017). [web.stanford.edu/class/archive/cs/cs224n/cs224n.1184/reports/6839354.pdf](https://web.stanford.edu/class/archive/cs/cs224n/cs224n.1184/reports/6839354.pdf) 

University of Michigan - Ann Arbor

There is a paper on predicting a user's personality from 16 personality types (based on the Myers-Briggs Type Index). The input values were the user's written text they provide on an Internet forum. This is a classification because the output is a qualitative prediction. For example, the user could be classified as an Extrovert.


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