Pith. sign in

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

1 Pith paper cite this work. Polarity classification is still indexing.

1 Pith paper citing it
abstract

We present the TherapyView, a demonstration system to help therapists visualize the dynamic contents of past treatment sessions, enabled by the state-of-the-art neural topic modeling techniques to analyze the topical tendencies of various psychiatric conditions and deep learning-based image generation engine to provide a visual summary. The system incorporates temporal modeling to provide a time-series representation of topic similarities at a turn-level resolution and AI-generated artworks given the dialogue segments to provide a concise representations of the contents covered in the session, offering interpretable insights for therapists to optimize their strategies and enhance the effectiveness of psychotherapy. This system provides a proof of concept of AI-augmented therapy tools with e in-depth understanding of the patient's mental state and enabling more effective treatment.

fields

cs.IR 1

years

2025 1

verdicts

REJECT 1

representative citing papers

Fine-Tuning Topics through Weighting Aspect Keywords

cs.IR · 2025-02-12 · reject · novelty 4.0

An expert-guided topic modeling framework that reweights documents by aspect keywords is demonstrated on quantum communication, but its adaptability claim is weakened by circular evaluation.

citing papers explorer

Showing 1 of 1 citing paper.

  • Fine-Tuning Topics through Weighting Aspect Keywords cs.IR · 2025-02-12 · reject · none · ref 61 · internal anchor

    An expert-guided topic modeling framework that reweights documents by aspect keywords is demonstrated on quantum communication, but its adaptability claim is weakened by circular evaluation.