Cross-Domain Topic Classification for Political Texts
(2021)
Journal Article
Osnabrügge, M., Ash, E., & Morelli, M. (2023). Cross-Domain Topic Classification for Political Texts. Political Analysis, 31(1), 59-80. https://doi.org/10.1017/pan.2021.37
We introduce and assess the use of supervised learning in cross-domain topic classification. In this approach, an algorithm learns to classify topics in a labeled source corpus and then extrapolates topics in an unlabeled target corpus from another d... Read More about Cross-Domain Topic Classification for Political Texts.