Enhanced Labeling Technique for Reddit Text and Fine-Tuned Longformer Models for Classifying Depression Severity in English and Luganda

Richard Kimera, Daniela N. Rim, Joseph Kirabira, Ubong Godwin Udomah, Heeyoul Choi
1/25/2024
cs.CLcs.LG

No confident code implementation found for this paper. 3 possible matches can be shown below.

Abstract

Depression is a global burden and one of the most challenging mental health conditions to control. Experts can detect its severity early using the Beck Depression Inventory (BDI) questionnaire, administer appropriate medication to patients, and impede its progression. Due to the fear of potential stigmatization, many patients turn to social media platforms like Reddit for advice and assistance at various stages of their journey. This research extracts text from Reddit to facilitate the diagnostic process. It employs a proposed labeling approach to categorize the text and subsequently fine-tunes the Longformer model. The model's performance is compared against baseline models, including Naive Bayes, Random Forest, Support Vector Machines, and Gradient Boosting. Our findings reveal that the Longformer model outperforms the baseline models in both English (48%) and Luganda (45%) languages on a custom-made dataset.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 3 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Generating Medically-Informed Explanations for Depression Detection using LLMs

86% match2025

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings

86% match2025

A Gold Standard Dataset and Evaluation Framework for Depression Detection and Explanation in Social Media using LLMs

85% match2025

Depression Risk Assessment in Social Media via Large Language Models

84% match2026

ReDSM5: A Reddit Dataset for DSM-5 Depression Detection

84% match1 repo122025

Enhancing Suicide Risk Detection on Social Media through Semi-Supervised Deep Label Smoothing

84% match2024

Cite this paper

@article{kimera2024enhanced,
  title  = {Enhanced Labeling Technique for Reddit Text and Fine-Tuned Longformer Models for Classifying Depression Severity in English and Luganda},
  author = {Richard Kimera and Daniela N. Rim and Joseph Kirabira and Ubong Godwin Udomah and Heeyoul Choi},
  year   = {2024},
  eprint = {2401.14240},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2401.14240v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2401.14240.svg)](https://codeofpaper.com/paper/2401.14240)

Discussion