Exploring the potential of Natural Language Processing techniques in criminal justice agencies: An investigation of racial disparities in release decisions from the Parole Board

All Criminal Justice agencies generate voluminous records documenting the characteristics of cases processed and decisions adopted. There is a long tradition of manually processing such records using content analysis, coding relevant text information into statistical datasets. The key problem with these techniques lies in their scalability. The cost/time of processing records manually is directly proportional … Continue reading Exploring the potential of Natural Language Processing techniques in criminal justice agencies: An investigation of racial disparities in release decisions from the Parole Board