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Text Mining and NLP Analysis on Data from https://fln.dk/praksis

Jupyter Notebook 99.89% Rich Text Format 0.03% Python 0.08%
nlp feature-extraction text-mining topic-modeling jupyter-notebook python

asylumdata_ku's Introduction

Trying to understand Asylum Practices in Denmark.

This repository contains the source code for the analysis of data from the Danish Refugee Appeals Board (Flygtningenævnet). The data are case summaries in textual format and are publicly available from https://fln.dk/praksis.

The source code for the steps of the analysis is included in each jupyter notebook. Notebooks starting with UH refer to cases denoted as Unknown Homeland. ALL is used for all other cases.

Running the notebooks:

Before running the notebooks please cd into the requirements then

pip install - r requirements_(respective notebook name).txt

The previous command will install the appropriate dependencies for each notebook.

However, please run first:

pip install - r requirements_utilities.txt

This will install all dependencies used in the helpers functions found in this subdirectory.

Disclaimer:

This project is still a work in progress.

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