Sentiment and position-taking analysis of parliamentary debates: a systematic literature review
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DOI: 10.1007/s42001-019-00060-w
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Cited by:
- Latifi, Albina & Naboka-Krell, Viktoriia & Tillmann, Peter & Winker, Peter, 2024.
"Fiscal policy in the Bundestag: Textual analysis and macroeconomic effects,"
European Economic Review, Elsevier, vol. 168(C).
- Latifi, Albina & Naboka-Krell, Viktoriia & Tillmann, Peter & Winker, Peter, 2023. "Fiscal Policy in the Bundestag: Textual Analysis and Macroeconomic Effects," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277624, Verein für Socialpolitik / German Economic Association.
- Albina Latifi & Viktoriia Naboka-Krell & Peter Tillmann & Peter Winker, 2023. "Fiscal Policy in the Bundestag: Textual Analysis and Macroeconomic Effects," MAGKS Papers on Economics 202307, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
- Alex Luscombe & Kevin Dick & Kevin Walby, 2022. "Algorithmic thinking in the public interest: navigating technical, legal, and ethical hurdles to web scraping in the social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 1023-1044, June.
- Waseem Ahmad & Bang Wang & Philecia Martin & Minghua Xu & Han Xu, 2023. "Enhanced sentiment analysis regarding COVID-19 news from global channels," Journal of Computational Social Science, Springer, vol. 6(1), pages 19-57, April.
- Mithani, Murad A., 2024. "Nationalistic political rhetoric: measurement and preliminary insights," Journal of International Management, Elsevier, vol. 30(2).
- Mikko Moilanen & Stein Østbye, 2021. "Doublespeak? Sustainability in the Arctic—A Text Mining Analysis of Norwegian Parliamentary Speeches," Sustainability, MDPI, vol. 13(16), pages 1-15, August.
- Müller-Hansen, Finn & Lee, Yuan Ting & Callaghan, Max & Jankin, Slava & Minx, Jan C., 2022. "The German coal debate on Twitter: Reactions to a corporate policy process," Energy Policy, Elsevier, vol. 169(C).
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Keywords
Sentiment analysis; Opinion mining; Text as data; Parliamentary debates; Legislative debates;All these keywords.
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