High accuracy with low costs: the pretrain-finetune paradigm for classification with transformer-based language models
Political science increasingly uses text classification to gauge subtle concepts such as toxicity or anger. Traditional methods treat words in isolation, overlooking the contextual dynamics where meaning resides. Transformer-based language models address these limitations but remain underutilized, especially among ap...