Using topic modelling to explore case summaries

Research output: Other contribution › Blog post › Research

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Using topic modelling to explore case summaries. / Jarlner, Asta Sofie Stage.

2023, In this blog post, I use a Hierarchical Stochastic Block Model to explore latent topics in summaries of cases that have been before the Refugee Appeals Board in 2018-2020.

Research output: Other contribution › Blog post › Research

Harvard

Jarlner, ASS 2023, Using topic modelling to explore case summaries..

APA

Jarlner, A. S. S. (2023, Mar 28). Using topic modelling to explore case summaries.

Vancouver

Jarlner ASS. Using topic modelling to explore case summaries. 2023.

Author

Jarlner, Asta Sofie Stage. / Using topic modelling to explore case summaries. 2023.

Bibtex

@misc{9471486fca8a4553b242b6f8527883d5,
title = "Using topic modelling to explore case summaries",
abstract = "This blog post computationally explores the latent topics present in a selection of public case summaries from the Refugee Appeals Board. It showcases how natural language processing can be used for initial exploration of text data as well as some of the considerations that must go into selecting which model to employ. I present a few findings and how one can go about using topics to discover cases, explore topological distribution for a specific group of applicants, and how topics are associated with decisions of the Board. ",
keywords = "Faculty of Law, Topic modeling, asylum decision-making, Natural Language Processing",
author = "Jarlner, {Asta Sofie Stage}",
year = "2023",
month = mar,
day = "28",
language = "English",
type = "Other",

}

RIS

TY - GEN

T1 - Using topic modelling to explore case summaries

AU - Jarlner, Asta Sofie Stage

PY - 2023/3/28

Y1 - 2023/3/28

N2 - This blog post computationally explores the latent topics present in a selection of public case summaries from the Refugee Appeals Board. It showcases how natural language processing can be used for initial exploration of text data as well as some of the considerations that must go into selecting which model to employ. I present a few findings and how one can go about using topics to discover cases, explore topological distribution for a specific group of applicants, and how topics are associated with decisions of the Board.

AB - This blog post computationally explores the latent topics present in a selection of public case summaries from the Refugee Appeals Board. It showcases how natural language processing can be used for initial exploration of text data as well as some of the considerations that must go into selecting which model to employ. I present a few findings and how one can go about using topics to discover cases, explore topological distribution for a specific group of applicants, and how topics are associated with decisions of the Board.

KW - Faculty of Law

KW - Topic modeling

KW - asylum decision-making

KW - Natural Language Processing

UR - https://asylumdata.ku.dk/data-blog/2023/using-topic-modelling/

M3 - Blog post

ER -

ID: 375544727