Research Article
Using Topic Modelling to Personalise a Digital Self-compassion Training
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@INPROCEEDINGS{10.1007/978-3-030-99194-4_32, author={Laura M. van der Lubbe and Nina Groot and Charlotte Gerritsen}, title={Using Topic Modelling to Personalise a Digital Self-compassion Training}, proceedings={Pervasive Computing Technologies for Healthcare. 15th EAI International Conference, Pervasive Health 2021, Virtual Event, December 6-8, 2021, Proceedings}, proceedings_a={PERVASIVEHEALTH}, year={2022}, month={3}, keywords={Self-compassion Mental health Personalization Topic modelling}, doi={10.1007/978-3-030-99194-4_32} }- Laura M. van der Lubbe
Nina Groot
Charlotte Gerritsen
Year: 2022
Using Topic Modelling to Personalise a Digital Self-compassion Training
PERVASIVEHEALTH
Springer
DOI: 10.1007/978-3-030-99194-4_32
Abstract
Young adults that struggle with mental health issues experience barriers to seek help. With our online self-compassion training we try to overcome some of these barriers. To improve our training, we can personalise exercises based on topic modelling. Data from a pilot study is used to analyse and evaluate the algorithm. Overall, the algorithm has an accuracy of 54.1% for predicting the right topic. This accuracy increases to 80.4% when considering an empty prediction to be correct as well. Although this research also shows that our data makes the task of topic modelling difficult, it does prove to be a possibility to personalise the designed training.
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