Towards a large scale analysis of claims: developing a machine learning method for detecting and classifying politicians’ claims of representation

Author:

Gevers IneORCID,De Mulder AugustORCID,Daelemans WalterORCID

Funder

TOP/BOF

Publisher

Springer Science and Business Media LLC

Reference57 articles.

1. Adnan, K., & Akbar, R. (2019). An analytical study of information extraction from unstructured and multidimensional big data. Journal of Big Data, 6(1), 1–38.

2. André, A., Depauw, S., Erzeel, S., et al. (2010). Vertegenwoordigende claims op het net: hoe kamerleden spreken over de groepen die zij vertegenwoordigen. In Gezien, gehoord, vertegenwoordigd? Diversiteit in de Belgische politiek (pp. 205–224).

3. Bourdieu, P. (1991). Language and symbolic power. Harvard University Press.

4. Bruter, M. (2009). Time bomb? The dynamic effect of news and symbols on the political identity of European citizens. Comparative Political Studies, 42(12), 1498–1536.

5. Cabot, P. L. H., Dankers, V., Abadi, D., et al. (2020). The pragmatics behind politics: Modelling metaphor, framing and emotion in political discourse. In Findings of the association for computational linguistics: emnlp (pp. 4479–4488).

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