DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media

Abstract

Twitter is currently a popular online social media platform which allows users to share their user-generated content. This publicly-generated user data is also crucial to healthcare technologies because the discovered patterns would hugely benefit them in several ways. One of the applications is in automatically discovering mental health problems, e.g., depression. Previous studies to automatically detect a depressed user on online social media have largely relied upon the user behaviour and their linguistic patterns including user's social interactions. The downside is that these models are trained on several irrelevant content which might not be crucial towards detecting a depressed user. Besides, these content have a negative impact on the overall efficiency and effectiveness of the model. To overcome the shortcomings in the existing automatic depression detection methods, we propose a novel computational framework for automatic depression detection that initially selects relevant content through a hybrid extractive and abstractive summarization strategy on the sequence of all user tweets leading to a more fine-grained and relevant content. The content then goes to our novel deep learning framework comprising of a unified learning machinery comprising of Convolutional Neural Network (CNN) coupled with attention-enhanced Gated Recurrent Units (GRU) models leading to better empirical performance than existing strong baselines.

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Cited by in corpus (6)

• Calibration of Transformer-based Models for Identifying Stress and Depression in Social Media
• A Multimodal Framework for Depression Detection during Covid-19 via Harvesting Social Media: A Novel Dataset and Method
• Exploring Social Media for Early Detection of Depression in COVID-19 Patients
• Explainable Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media
• Understanding how social discussion platforms like Reddit are influencing financial behavior
• Quantifying the Suicidal Tendency on Social Media: A Survey