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Active Learning for Classifying Political Tweets

We examine methods for improving models for automatically labeling social media data. In particular we evaluate active learning: a method for selecting candidate training data whose labeling the classification model would benefit most of. We show that this approach requires careful experiment design, when it is combined with language modeling.

Tjong Kim Sang, E., Esteve del Valle, M., Kruitbosch, H., & Broersma, M. (2018). Active Learning for Classifying Political Tweets. International Science and General Applications, 1(March), 60–67.

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