Using Topic Modeling to Detect and Describe Self‐Injurious and Related Content on a Large‐Scale Digital Platform
Abstract
Objective Self‐injurious thoughts and behaviors ( SITB s) are a complex and enduring public health concern. Increasingly, teenagers use digital platforms to communicate about a range of mental health topics. These discussions may provide valuable information that can lead to insights about complex issues like SITB s. However, the field of clinical psychology currently lacks an easy‐to‐implement toolkit that can quickly gather information about...
Paper Details
Title
Using Topic Modeling to Detect and Describe Self‐Injurious and Related Content on a Large‐Scale Digital Platform
Published Date
Jul 2, 2019
Volume
50
Issue
1
Pages
5 - 18
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