Content Analysis for Proactive Protective Intelligence

Sanfilippo, Antonio

doi:10.2172/1015284

2010

DOI: 10.2172/1015284

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Content Analysis for Proactive Protective Intelligence

Antonio Sanfilippo¹

Abstract: This document was printed on recycled paper.

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2014

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Assessing Violence Risk in Threatening Communications

Glasgow¹,

Schouten²

2014

Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality

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Violence risk assessment is an important and challenging task undertaken by mental health professionals and others, in both clinical and nonclinical settings. To date, computational linguistic techniques have not been used in the risk assessment process. However they could contribute to the current threat assessment process by allowing for early detection of elevated risk, identification of risk factors for violence, monitoring of violent intent, and determination of threat level. We analyzed a sample of communications to judges that were referred to security personnel for evaluation as constituting potential threats. We categorized them along multiple dimensions including evidence of mental illness, presence and nature of any threat, and level of threat. While neither word countbased or topic models were able to effectively predict elevated risk, we found topics indicative of persecutory beliefs, paranoid ideation, and other symptoms of Axis I and Axis II disorders.

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Assessing Violence Risk in Threatening Communications

Glasgow¹,

Schouten²

2014

Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality

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show abstract

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Content Analysis for Proactive Protective Intelligence

Abstract: This document was printed on recycled paper.

Cited by 1 publication

References 20 publications

Assessing Violence Risk in Threatening Communications

Assessing Violence Risk in Threatening Communications

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