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First, we trained a Continuous Bag of Words word2vec model on the entire corpus using the word2vec package in R (R Foundation for Statistical Computing) [27]. Next, we created a mental health vector by averaging the vectors of words strongly associated with mental health (eg, therapy, psychiatry, and diagnosis; see Multimedia Appendix 1 for details). This vector was used as a reference point for identifying mental health–related language.
J Med Internet Res 2025;27:e73950
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Breath-Focused Mindfulness and Compassion Training in Parent-Child Dyads: Pilot Intervention Study
JMIR Form Res 2025;9:e69607
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Mood and intent words paired to a given session were next assigned a “raw word score,” R, equal to the ∆WM value from that session.
Next, the algorithm then allowed for potentially important factors of influence to scale R:
Where S is the scaled word score, and A, B, and C are scalers.
J Med Internet Res 2025;27:e56086
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