Using machine learning to assess rape reports: Sentiment analysis detection of officers' "signaling" about victims' credibility Academic Article

authors

• Ye, Xinyue

published proceedings

• JOURNAL OF CRIMINAL JUSTICE

altmetric score

• 12.75

author list (cited authors)

• Lovell, R. E., Klingenstein, J., Du, J., Overman, L., Sabo, D., Ye, X., & Flannery, D. J.

citation count

• 0

complete list of authors

• Lovell, Rachel E||Klingenstein, Joanna||Du, Jiaxin||Overman, Laura||Sabo, Danielle||Ye, Xinyue||Flannery, Daniel J

publication date

• September 2023

publisher

• Elsevier  Publisher

published in

• Journal of Criminal Justice  Journal

keywords

• Attrition
• Natural Language Processing
• Sentiment Analysis
• Sexual Assault,machine Learning
• Victim Credibility

Digital Object Identifier (DOI)

• 10.1016/j.jcrimjus.2023.102106

start page

• 102106

end page

• 102106

volume

• 88

URL

• http://dx.doi.org/10.1016/j.jcrimjus.2023.102106