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
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DOI: 10.1007/s11135-022-01372-2
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- Igor Mozetič & Miha Grčar & Jasmina Smailović, 2016. "Multilingual Twitter Sentiment Classification: The Role of Human Annotators," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-26, May.
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- Miller, Blake & Linder, Fridolin & Mebane, Walter R., 2020. "Active Learning Approaches for Labeling Text: Review and Assessment of the Performance of Active Learning Approaches," Political Analysis, Cambridge University Press, vol. 28(4), pages 532-551, October.
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Text classification; Natural language processing; Deep learning; Content analysis; Big data;All these keywords.
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