README.md

metadata

title: OnCoCo Message Classifier
emoji: 🧠
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 6.10.0
app_file: app.py
pinned: false
license: cc-by-4.0
short_description: Classify psychosocial online counseling messages
tags:
  - text-classification
  - counseling
  - mental-health
  - multilingual
  - german
  - english

OnCoCo Message Classifier

This Space provides an interactive demo for classifying individual messages from psychosocial online counseling conversations into fine-grained categories.

What it does

Given a single counseling message — prefixed with the speaker role (Counselor:, Client:, Berater:, or Klient:) — the model predicts the most likely communication act categories and their confidence scores.

Categories cover 40 counselor acts (e.g. empathic reflection, problem exploration, motivational interviewing techniques) and 28 client acts (e.g. expressing emotions, describing problems, requesting information).

Model

th-nuernberg/xlm-roberta-base-online-counseling-oncoco

A fine-tuned XLM-RoBERTa model trained on the OnCoCo dataset using 5-fold stratified cross-validation.

Dataset

th-nuernberg/OnCoCoV1

OnCoCo (Online Counseling Conversations) is a bilingual (German/English) corpus of annotated psychosocial online counseling messages. Topics include mental health, relationships, substance use, and financial problems.

Usage

Select one of the provided examples or enter a custom message. Prefix the message with the appropriate role marker:

• Counselor: / Berater: for counselor messages
• Client: / Klient: for client messages

Use the Top-K dropdown to control how many top predictions are shown.

Citation

If you use this demo or the underlying dataset/model in your research, please cite the associated publications (see the dataset card for details).

License

CC BY 4.0 — Technische Hochschule Nürnberg, Jens Albrecht