Neural Topic Modeling of Psychotherapy Sessions

04/13/2022
by   Baihan Lin, et al.
11

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.

READ FULL TEXT
research
02/21/2023

TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts

We present the TherapyView, a demonstration system to help therapists vi...
research
04/12/2022

Deep Annotation of Therapeutic Working Alliance in Psychotherapy

The therapeutic working alliance is an important predictor of the outcom...
research
09/07/2018

Coherence-Aware Neural Topic Modeling

Topic models are evaluated based on their ability to describe documents ...
research
11/24/2022

Multi-scale Hybridized Topic Modeling: A Pipeline for Analyzing Unstructured Text Datasets via Topic Modeling

We propose a multi-scale hybridized topic modeling method to find hidden...
research
07/20/2016

An Adaptation of Topic Modeling to Sentences

Advances in topic modeling have yielded effective methods for characteri...
research
03/24/2023

Overview of the ICASSP 2023 General Meeting Understanding and Generation Challenge (MUG)

ICASSP2023 General Meeting Understanding and Generation Challenge (MUG) ...
research
02/28/2018

Application of Rényi and Tsallis Entropies to Topic Modeling Optimization

This is full length article (draft version) where problem number of topi...

Please sign up or login with your details

Forgot password? Click here to reset