Page No :418-430
Beena Chintalapuri, Sandhya Katta, Khumdhana Varma, Paramita Banerjee,
Amit Indurkar, Anvitha Padurthi, Manasi Apte, and Meejuri Abhishikth
Osmania University, Hyderabad
This article presents an analysis of 648 narratives and pictures collected from 72 prison
inmate participants. The analysis focuses on time and space themes, and was carried
out using Natural Language Processing (NLP) tools. The time dimension includes past
experiences, present experiences, and the future the participants imagined. The space
dimension concentrates on the actual experience of living in prison. Text analysis
using NLP has resulted in the clear emergence of risks and protective factors on termto-
term co-occurrence. Transition from the past to the present, and then to the future
reveals a shift towards cognitive behavioural reconstruction, while the sentiment analysis
graphs clearly reflect a movement towards desistance, which is indicative of likely
reduction in recidivism