Rønningstad, EgilStorset, Lilja CharlotteMæhlum, PetterØvrelid, LiljaVelldal, ErikJohansson, RichardStymne, Sara2025-02-182025-02-182025-03https://hdl.handle.net/10062/107250Sentiment analysis of patient feedback from the public health domain can aid decision makers in evaluating the provided services. The current paper focuses on free-text comments in patient surveys about general practitioners and psychiatric healthcare, annotated with four sentence-level polarity classes - positive, negative, mixed and neutral - while also attempting to alleviate data scarcity by leveraging general-domain sources in the form of reviews. For several different architectures, we compare in-domain and out-of-domain effects, as well as the effects of training joint multi-domain models.enAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttps://creativecommons.org/licenses/by-nc-nd/4.0/Mixed Feelings: Cross-Domain Sentiment Classification of Patient FeedbackArticle