Abstract
SNePS is being used to implement an emotion profiler which is based on a new emotion theory. The system is designed to read a transcript of an actual doctor/patient conversation and produce a profile of the patient's emotional state. Because conversations are not restricted in topic and patients use words idiosyncratically, the emotion profiler's use of knowledge is limited. This paper describes a design and SNePS implementation which uses domain-independent knowledge to effectively parse and process transcripts.
This investigation was supported by BRSGS07RR05366-28 awarded by the Biomedical Research Support Grant Program, Division of Research Resources, National Institutes of Health.
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Rapp, C., Evens, M., Garfield, D. (1990). Design of an emotion profiler using SNePS. In: Kumar, D. (eds) Current Trends in SNePS — Semantic Network Processing System. SNePS 1989. Lecture Notes in Computer Science, vol 437. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0022089
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DOI: https://doi.org/10.1007/BFb0022089
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