A Big Data Analytics System for Predicting Suicidal Ideation in Real-Time Based on Social Media Streaming Data

arXiv:2404.12394v1 Announce Type: new
Abstract: Online social media platforms have recently become integral to our society and daily routines. Every day, users worldwide spend a couple of hours on such platforms, expressing their sentiments and emotional state and contacting each other. Analyzing such huge amounts of data from these platforms can provide a clear insight into public sentiments and help detect their mental status. The early identification of these health condition risks may assist in preventing or reducing the number …

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