Why Is MBTI Personality Detection from Texts a Difficult Task?
Sanja Stajner, Seren Yenikent
Linguistic Theories, Cognitive Modeling and Psycholinguistics Long paper Paper
You can open the pre-recorded video in separate windows.
Abstract:
Automatic detection of the four MBTI personality dimensions from texts has recently attracted noticeable attention from the natural language processing and computational linguistic communities. Despite the large collections of Twitter data for training, the best systems rarely even outperform the majority-class baseline. In this paper, we discuss the theoretical reasons for such low results and present the insights from an annotation study that further shed the light on this issue.
NOTE: Video may display a random order of authors.
Correct author list is at the top of this page.