TY - JOUR PY - 2020// TI - Naturally occurring language as a source of evidence in suicide prevention JO - Suicide and life-threatening behavior A1 - Resnik, Philip A1 - Foreman, April A1 - Kuchuk, Michelle A1 - Musacchio Schafer, Katherine A1 - Pinkham, Beau SP - ePub EP - ePub VL - ePub IS - ePub N2 - We discuss computational language analysis as it pertains to suicide prevention research, with an emphasis on providing non-technologists with an understanding of key issues and, equally important, considering its relation to the broader enterprise of suicide prevention. Our emphasis here is on naturally occurring language in social media, motivated by its non-intrusive ability to yield high-value information that in the past has been largely unavailable to clinicians.

Language: en

LA - en SN - 0363-0234 UR - http://dx.doi.org/10.1111/sltb.12674 ID - ref1 ER -