  Text-based personality computing (TPC) has gained many research interests in
NLP. In this paper, we describe 15 challenges that we consider deserving the
attention of the research community. These challenges are organized by the
following topics: personality taxonomies, measurement quality, datasets,
performance evaluation, modelling choices, as well as ethics and fairness. When
addressing each challenge, not only do we combine perspectives from both NLP
and social sciences, but also offer concrete suggestions. We hope to inspire
more valid and reliable TPC research.
