cyraxsector / mental-health

Repository containing code for my internship at Valencia Polytechnic University (summer 2021)

This repository contains code for training and using deep learning models for mental disorder detection in conversational domain.

Install

The required libraries are:

• tensorflow2, keras
• numpy, nltk, sklearn, pandas

The full list of packages and versions I used is found in requirements.txt (may contain some unnecessary ones)

Usage

See scripts folder. Main flow is precompute representation and then apply on your dataset.

Model

Publications

If using this resource, please cite the relevant papers (bib format will be provided as soon as possible):

• Detecting early signs of depression in the conversational domain: The role of transfer learning in low-resource scenarios
  • Petr Lorenc, Ana Sabina Uban, Paolo Rosso, and Jan Šedivý, NLDB 2022

The code and algorithm was inspired by:

@InProceedings{10.1007/978-3-030-80599-9_27,
author="Uban, Ana Sabina
and Chulvi, Berta
and Rosso, Paolo",
title="On the Explainability of Automatic Predictions of Mental Disorders from Social Media Data",
booktitle="Natural Language Processing and Information Systems",
year="2021",
publisher="Springer International Publishing",
pages="301--314",
isbn="978-3-030-80599-9"
}

All experiment were conducted during internship (May - September 2021) of Petr Lorenc at Universitat Politècnica de València supervised by professor Paolo Rosso