arXiv Open Access 2022

Neural Topic Modeling of Psychotherapy Sessions

Baihan Lin Djallel Bouneffouf Guillermo Cecchi Ravi Tejwani

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Abstrak

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 psychotherapy effectiveness.

Topik & Kata Kunci

cs.CL cs.AI cs.HC cs.LG q-bio.NC

Penulis (4)

Baihan Lin

Djallel Bouneffouf

Guillermo Cecchi

Ravi Tejwani

Format Sitasi

APA MLA BibTeX

Lin, B., Bouneffouf, D., Cecchi, G., Tejwani, R. (2022). Neural Topic Modeling of Psychotherapy Sessions. https://arxiv.org/abs/2204.10189

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Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓