  A logistic regression model only fed with character and word n-grams is
proposed for the SemEval-2022 Task 4 on Patronizing and Condescending Language
Detection (PCL). It obtained an average level of performance, well above the
performance of a system that tries to guess without using any knowledge about
the task, but much lower than the best teams. As the proposed model is very
similar to the one that performed well on a task requiring to automatically
identify hate speech and offensive content, this paper confirms the difficulty
of PCL detection.
