Improving Probabilistic Models in Text Classification via Active Learning. (arXiv:2202.02629v2 [cs.CL] UPDATED)

Social scientists often classify text documents to use the resulting labels
as an outcome or a predictor in empirical research. Automated text
classification has become a standard tool, since it requires less human coding.
However, scholars still need many human-labeled documents to train automated
classifiers. To reduce labeling costs, we propose a new algorithm for text
classification that combines a probabilistic model with active learning. The
probabilistic model uses both labeled and unlabeled data, and active learning
concentrates labeling efforts …

active learning arxiv classification text text classification