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Suicidal Ideation Detection on Social Media: A Review of Machine Learning Methods. (arXiv:2201.10515v1 [cs.CL])
cs.CL updates on arXiv.org arxiv.org
Social media platforms have transformed traditional communication methods by
allowing users worldwide to communicate instantly, openly, and frequently.
People use social media to express their opinion and share their personal
stories and struggles. Negative feelings that express hardship, thoughts of
death, and self-harm are widespread in social media, especially among young
generations. Therefore, using social media to detect and identify suicidal
ideation will help provide proper intervention that will eventually dissuade
others from self-harming and committing suicide and prevent the …
arxiv detection learning machine machine learning media review social social media