Abstract
Long-Term Personal Services are characterized by long-term objectives, human interaction and multiple service encounters. Examples would be services in Physiotherapy, Psychotherapy, Family Care or Coaching. In this domain, a lot of process knowledge lies in unstructured text data like reports, internal documentation and logged communication for the coordination of service encounters. The applicability and potential of dictionary-based text classification for the analysis of these service processes are investigated. Results are derived from literature review and a case study. The investigations are part of a larger project focusing on smart process management in social care.
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Lantow, B., Klaus, K. (2021). Analysis of Long-Term Personal Service Processes Using Dictionary-Based Text Classification. In: Zimmermann, A., Howlett, R., Jain, L. (eds) Human Centred Intelligent Systems. Smart Innovation, Systems and Technologies, vol 189. Springer, Singapore. https://doi.org/10.1007/978-981-15-5784-2_7
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DOI: https://doi.org/10.1007/978-981-15-5784-2_7
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