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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 1 of 1 1 Neural Topic Modeling of Psychotherapy Sessions ... Lin, Baihan; Bouneffouf, Djallel; Cecchi, Guillermo; Tejwani, Ravi. - : arXiv, 2022 Abstract: In this work, we compare different neural topic modeling methods in learning the topical propensities of different psychiatric conditions from the psychotherapy session transcripts parsed from speech recordings. We also incorporate temporal modeling to put this additional interpretability to action by parsing out topic similarities as a time series in a turn-level resolution. We believe this topic modeling framework can offer interpretable insights for the therapist to optimally decide his or her strategy and improve the psychotherapy effectiveness. ... : This work is part of our research series in computational linguistics for psychotherapy and psychiatry (e.g. working alliance analysis in arXiv:2204.05522). arXiv admin note: text overlap with arXiv:2204.05522 ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Biological sciences; FOS Computer and information sciences; Human-Computer Interaction cs.HC; Machine Learning cs.LG; Neurons and Cognition q-bio.NC URL: https://arxiv.org/abs/2204.10189 https://dx.doi.org/10.48550/arxiv.2204.10189 BASE Hide details

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