It's Difficult to be Neutral -- Human and LLM-based Sentiment Annotation of Patient Comments

arXiv:2404.18832v1 Announce Type: new
Abstract: Sentiment analysis is an important tool for aggregating patient voices, in order to provide targeted improvements in healthcare services. A prerequisite for this is the availability of in-domain data annotated for sentiment. This article documents an effort to add sentiment annotations to free-text comments in patient surveys collected by the Norwegian Institute of Public Health (NIPH). However, annotation can be a time-consuming and resource-intensive process, particularly when it requires domain expertise. We therefore also evaluate …

abstract analysis annotation annotations article arxiv availability cs.cl data documents domain healthcare human improvements llm patient sentiment sentiment analysis services tool type voices