arXiv Open Access 2020

Detecting Early Onset of Depression from Social Media Text using Learned Confidence Scores

Ana-Maria Bucur Liviu P. Dinu

Lihat Sumber

Abstrak

Computational research on mental health disorders from written texts covers an interdisciplinary area between natural language processing and psychology. A crucial aspect of this problem is prevention and early diagnosis, as suicide resulted from depression being the second leading cause of death for young adults. In this work, we focus on methods for detecting the early onset of depression from social media texts, in particular from Reddit. To that end, we explore the eRisk 2018 dataset and achieve good results with regard to the state of the art by leveraging topic analysis and learned confidence scores to guide the decision process.

Topik & Kata Kunci

stat.ML cs.CL cs.LG

Penulis (2)

Ana-Maria Bucur

Liviu P. Dinu

Format Sitasi

APA MLA BibTeX

Bucur, A., Dinu, L.P. (2020). Detecting Early Onset of Depression from Social Media Text using Learned Confidence Scores. https://arxiv.org/abs/2011.01695

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓