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Text Mining for Social Harm and Criminal Justice ApplicationsPandey, Ritika 08 1900 (has links)
Indiana University-Purdue University Indianapolis (IUPUI) / Increasing rates of social harm events and plethora of text data demands the need of employing text mining techniques not only to better understand their causes but also to develop optimal prevention strategies. In this work, we study three social harm issues: crime topic models, transitions into drug addiction and homicide investigation chronologies. Topic modeling for the categorization and analysis of crime report text allows for more nuanced categories of crime compared to official UCR categorizations. This study has important implications in hotspot policing. We investigate the extent to which topic models that improve coherence lead to higher levels of crime concentration. We further explore the transitions into drug addiction using Reddit data. We proposed a prediction model to classify the users’ transition from casual drug discussion forum to recovery drug discussion forum and the likelihood of such transitions. Through this study we offer insights into modern drug culture and provide tools with potential applications in combating opioid crises. Lastly, we present a knowledge graph based framework for homicide investigation chronologies that may aid investigators in analyzing homicide case data and also allow for post hoc analysis of key features that determine whether a homicide is ultimately solved. For this purpose we perform named entity recognition to determine witnesses, detectives and suspects from chronology, use keyword expansion to identify various evidence types and finally link these entities and evidence to construct a homicide investigation knowledge graph. We compare the performance over several choice of methodologies for these sub-tasks and analyze the association between network statistics of knowledge graph and homicide solvability.
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Evaluace svépomocné skupiny Al-Anon z pohledu jejích členů / Evaluation of mutual-help group Al-Anon from the perspective of their membersPavlíková, Zuzana January 2021 (has links)
Background: Addiction affects the whole family and not only the individual dealing with it. The reason being that family is usually closest to the individual. The family is mainly affected by the unpredictable behaviour of the addicted member and this behaviour then affects the whole running of the family and sooner or later other members become co- dependent. There is not much support provided for these people. A suitable alternative can be the self-help group Al-Anon. Aims: The aim of the research is to analyse the needs of individuals struggling with the problem of alcohol use of their close ones. The second goal is to describe the form and course of the meeting of the self-help group and the characteristics of the participants who attend this meeting. The third goal is to investigate the level of satisfaction of participants with meetings and description of recommendations for expert care. Methods: To obtain the data, a qualitative method was used by intentional selection through institutions. A total of 12 respondents (10 women and 2 men) participated in the research. The method of searching and marking relations, the method of simple enumeration and the method of contrasts and comparisons were used for the analysis of data. Results: Although expert care is the first choice of respondents,...
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