QFRG and DSLab seminar: Analysis of the effectiveness of the Polish judicial system using topic modelling tools

15 November 2021

We invite you to the fourteenth seminar of the monthly series of meetings conducted jointly by QFRG (Quantitative Finance Research Group) and DSLab (Data Science Lab). The meeting will be devoted to the topic: Analysis of the effectiveness of the Polish judicial system using topic modelling tools, in which Maciej Świtała (PhD student at WNE UW) will show how modern text analysis algorithms (topic modeling) can be used to analyze the effectiveness of the legal system measured by the probability of an appeal.

QFRG is a place where research is conducted and experiences are exchanged between people engaged in examining occurrences in the world of investment from the perspective of both theory and practice, on the verge of science and business.

The activity of DSLab is focused mainly on academic projects devoted to deepening of the knowledge of DSLab team, sharing it with other people interested in Data Science issues and preparing scientific and didactic publications.

The fourteenth meeting will take place on November 22nd, 2021 (Monday) at 16:45 online on Google Meet platform.

Link to the meetinghttps://meet.google.com/zuf-iptg-qzn

The meeting will be conducted in English. The presentation is scheduled for about 45 minutes, and after that we invite you to a discussion.


Please log in the latest at 4:40 PM. The presentation will start at 4:45 PM.

Joining a meeting implies consent to recording. Please turn off cameras and microphones during the presentation and send the questions to the speaker in the chat.


Presentation abstract:

The subject of the research is the analysis of the probability of appeal against judgments of regional courts in Poland in 2016-2019. The percentage of judgments against which an appeal was filed was compared among judgements groups detected using topic modelling tools based on full sentences of judgements. Moreover, within every single judgements group, the distribution of judgements among courts departments was analyzed. Thus, groups of judgments with homogeneous characteristics were identified. It also enabled the identification of border groups of judgements, concerning more than one of the historically established sets of legal norms. Therefore, it was examined how heterogeneous characteristics of legal cases affect the probability of an appeal in a topic group of judgments. In addition, we analyzed seasonally emerging groups of judgments and seasonal patterns in the probability of appeals in particular judgements groups.

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