A text mining approach to characterizing interpersonal stress among individuals with a nonsuicidal self-injury history

Author:

Wilcox Kenneth Tyler,Jacobucci Ross,Dixon-Gordon Katherine L.,Waite Elinor E.,McCloskey Michael S.,Ammerman Brooke A.ORCID

Publisher

Springer Science and Business Media LLC

Subject

General Psychology

Reference53 articles.

1. Andover, M. S., & Morris, B. W. (2014). Expanding and clarifying the role of emotion regulation in nonsuicidal self-injury. The Canadian Journal of Psychiatry, 59, 569–575.

2. Bird, S., Klein, E., & Loper, E. (2009). Natural language processing with Python. O’Reilly.

3. Blei, D. M., & Lafferty, J. D. (2009). Topic models. In A. N. Srivastava & M. Sahami (Eds.), Text mining: Classification, clustering, and applications. Chapman and Hall/CRC.

4. Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent Dirichlet allocation. Journal of Machine Learning Research, 3, 993–1022.

5. Bresin, K., & Mekawi, Y. (2022). Different ways to drown out the pain: A meta-analysis of the association between nonsuicidal self-injury and alcohol use. Archives of Suicide Research, 26, 348–369.

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