APA (7th ed.) Citation

Matuszewski, P. (2023). How to prepare data for the automatic classification of politically related beliefs expressed on Twitter? The consequences of researchers’ decisions on the number of coders, the algorithm learning procedure, and the pre-processing steps on the performance of supervised models. Quality & quantity, 57(1), 301-321. https://doi.org/10.1007/s11135-022-01372-2

Chicago Style (17th ed.) Citation

Matuszewski, Paweł. "How to Prepare Data for the Automatic Classification of Politically Related Beliefs Expressed on Twitter? The Consequences of Researchers’ Decisions on the Number of Coders, the Algorithm Learning Procedure, and the Pre-processing Steps on the Performance of Supervised Models." Quality & Quantity 57, no. 1 (2023): 301-321. https://doi.org/10.1007/s11135-022-01372-2.

MLA (9th ed.) Citation

Matuszewski, Paweł. "How to Prepare Data for the Automatic Classification of Politically Related Beliefs Expressed on Twitter? The Consequences of Researchers’ Decisions on the Number of Coders, the Algorithm Learning Procedure, and the Pre-processing Steps on the Performance of Supervised Models." Quality & Quantity, vol. 57, no. 1, 2023, pp. 301-321, https://doi.org/10.1007/s11135-022-01372-2.