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What's on the agenda?
Topic modelling parliamentary debates before and during the COVID-19 pandemic
Kaj je na dnevnem redu?
Tematsko modeliranje parlamentarnih razprav pred in med epidemijo covida-19
Co-author(s):Çağrı Çöltekin (rec.), Marta Kołczyńska (rec.), Andrej Pančur (drugo)
Leto:2022
Publisher(s):Inštitut za novejšo zgodovino / Institute of Contemporary History
Rights:
This work by Ajda Pretnar Žagar, Kristina Pahor De Maiti, Darja Fišer is licensed under Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International
Individual contributions:
- Ajda Pretnar Žagar / Kristina Pahor De Maiti / Darja Fišer, What's on the agenda?: Topic modelling parliamentary debates before and during the COVID-19 pandemic, Kaj je na dnevnem redu?: Tematsko modeliranje parlamentarnih razprav pred in med epidemijo covida-19
Files (78)
Digital edition:https://sidih.github.io/agenda/
GitHub repository:https://github.com/sidih/agenda
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Description
In democratic countries, a parliament is a central representative and legislative institution. Digital transcripts of parliamentary sessions are a unique research source as they reflect the political, societal, and cultural atmosphere of a certain period. The transcripts are typically available in the form of parliamentary corpora.
In this tutorial, we will analyse the transcripts of parliamentary debates ParlaMint, for which we will employ advanced automatic analytical techniques, specifically topic modelling. The aim of the tutorial is to introduce researchers in the humanities and social sciences to text mining, showing the value of such approaches for research in these scientific fields. The tutorial breaks down the particularities of parliamentary discourse and topic modelling by answering concrete research questions.
Metadata (10)
- identifierhttps://hdl.handle.net/11686/70232
- title
- What's on the agenda?
- Topic modelling parliamentary debates before and during the COVID-19 pandemic
- Kaj je na dnevnem redu?
- Tematsko modeliranje parlamentarnih razprav pred in med epidemijo covida-19
- creator
- Ajda Pretnar Žagar
- Kristina Pahor De Maiti
- Darja Fišer
- contributor
- Çağrı Çöltekin (rec.)
- Marta Kołczyńska (rec.)
- Andrej Pančur (drugo)
- description
- V demokratičnih državah parlament deluje kot osrednje predstavniško in zakonodajno telo. Digitalni zapisi parlamentarnih razprav omogočajo raziskovanje političnega, družbenega in kulturnega vzdušje določenega časa. Ti zapisi so raziskovalcem tipično na voljo v obliki korpusov. V tem učnem gradivu bomo analizirali zapise parlamentarnih debat ParlaMint, pri čemer bomo uporabili napredne avtomatske analitične tehnike oz. točneje tematsko modeliranje. Namen učnega gradiva je raziskovalke in raziskovalce s področja humanistike in družboslovja vpeljati v svet rudarjenja besedil ter prikazati vrednost tovrstnih pristopov za družboslovne in humanistične raziskave. Učno gradivo razlaga posebnosti parlamentarnega diskurza in uporabo tematskega modeliranja za reševanje konkretnih raziskovalnih vprašanj.
- In democratic countries, a parliament is a central representative and legislative institution. Digital transcripts of parliamentary sessions are a unique research source as they reflect the political, societal, and cultural atmosphere of a certain period. The transcripts are typically available in the form of parliamentary corpora. In this tutorial, we will analyse the transcripts of parliamentary debates ParlaMint, for which we will employ advanced automatic analytical techniques, specifically topic modelling. The aim of the tutorial is to introduce researchers in the humanities and social sciences to text mining, showing the value of such approaches for research in these scientific fields. The tutorial breaks down the particularities of parliamentary discourse and topic modelling by answering concrete research questions.
- publisher
- Inštitut za novejšo zgodovino / Institute of Contemporary History
- date
- 2022
- hasPart
- rights
- rights: http://creativecommons.org/licenses/by-nc-nd/4.0/
- license: ccByNcNd
- fileResource
- agenda.xml
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