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    <abstract>Sentiment 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.</abstract>
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%0 Conference Proceedings
%T Mixed Feelings: Cross-Domain Sentiment Classification of Patient Feedback
%A Rønningstad, Egil
%A Storset, Lilja Charlotte
%A Mæhlum, Petter
%A Øvrelid, Lilja
%A Velldal, Erik
%Y Johansson, Richard
%Y Stymne, Sara
%S Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)
%D 2025
%8 March
%I University of Tartu Library
%C Tallinn, Estonia
%@ 978-9908-53-109-0
%F ronningstad-etal-2025-mixed
%X Sentiment 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.
%U https://aclanthology.org/2025.nodalida-1.58/
%P 537-543

Markdown (Informal)

[Mixed Feelings: Cross-Domain Sentiment Classification of Patient Feedback](https://aclanthology.org/2025.nodalida-1.58/) (Rønningstad et al., NoDaLiDa 2025)

• Mixed Feelings: Cross-Domain Sentiment Classification of Patient Feedback (Rønningstad et al., NoDaLiDa 2025)

ACL

• Egil Rønningstad, Lilja Charlotte Storset, Petter Mæhlum, Lilja Øvrelid, and Erik Velldal. 2025. Mixed Feelings: Cross-Domain Sentiment Classification of Patient Feedback. In Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025), pages 537–543, Tallinn, Estonia. University of Tartu Library.