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Machine learning of language use on Twitter reveals weak and non-specific predictions

Psychology

Machine learning of language use on Twitter reveals weak and non-specific predictions

S. W. Kelley, C. N. Mhaonaigh, et al.

Explore the groundbreaking findings of Sean W. Kelley, Caoimhe Ní Mhaonaigh, Louise Burke, Robert Whelan, and Claire M. Gillan, who investigated the potential of machine learning to predict mental health conditions from Twitter data. The study reveals intriguing insights about language patterns linked to depression, though it highlights the limitations of individualized predictions based on social media analysis.

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