Natural language processing in mental health applications using non-clinical texts

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CALVO, RAFAEL A., et al. “Natural Language Processing in Mental Health Applications Using Non-Clinical Texts”. Natural Language Engineering, vol. 23, no. 5, 2017, pp. 649-85, https://doi.org/10.1017/s1351324916000383.
CALVO, R. A., MILNE, D. N., HUSSAIN, M. S., & CHRISTENSEN, H. (2017). Natural language processing in mental health applications using non-clinical texts. Natural Language Engineering, 23(5), 649-685. https://doi.org/10.1017/s1351324916000383
CALVO RA, MILNE DN, HUSSAIN MS, CHRISTENSEN H. Natural language processing in mental health applications using non-clinical texts. Natural Language Engineering. 2017;23(5):649-85.
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The first research to cite this article was titled Social Monitoring for Public Health and was published in 2017. The most recent citation comes from a 2024 study titled Social Monitoring for Public Health . This article reached its peak citation in 2022 , with 4 citations.It has been cited in 7 different journals, 71% of which are open access. Among related journals, the JMIR Medical Informatics cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
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