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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Dataset and code for paper 'Qu'allons devenir des pamphlets: Een digitale analyse van de politieke pamfletten tijdens de Brabantse Omwenteling (1789-1790)' (thesis project)

Authors: Bogaerts, Oliver;

Dataset and code for paper 'Qu'allons devenir des pamphlets: Een digitale analyse van de politieke pamfletten tijdens de Brabantse Omwenteling (1789-1790)' (thesis project)

Abstract

This folder contains: The final version of my dissertation (Thesis_Oliver_Bogaerts.pdf) A ZIP file with the transcripts (.txt) of all pamphlets that were used for this project (Transcripts_thesis_Oliver_Bogaerts.zip) An Excel file containing metadata about the pamphlets (Thesis_Oliver_Bogaerts.xlsx) A Jupyter notebook with code I used to develop a text classification model and multiple visualisation techniques (Thesis_Oliver_Bogaerts.ipynb) A text file with all French stopwords that were removed during preprocessing (stopwords-fr.txt)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average