Analysis of Twitter communications can capture data on hospital patient experience, and this will be more appropriate for hospital management and patient care because the data represent patients’ and carers’ experience about something as they happen. This paper reports on the development and testing of a semi-automatic method for retrieval of subsets of Twitter communications representing hospital patient experience on different topics and subtopics. Twelve main topics of discussions on patient experience have been identified. Furthermore, it has been demonstrated that it is possible to retrieve tweets on most of the topics by using pre-defined search strings comprising various terms that represent a given topic.
|Title of host publication||Maturity and Innovation in Digital Libraries|
|Subtitle of host publication||20th International Conference on Asia-Pacific Digital Libraries, ICADL 2018, Hamilton, New Zealand, November 19-22, 2018, Proceedings|
|Editors||Milena Dobreva, Annika Hinze, Maja Žumer|
|Place of Publication||Cham|
|Number of pages||12|
|Publication status||Published - Nov 2018|
|Name||Lecture Notes in Computer Science|