Tenant comments on Dutch housing association Facebook posts cluster into six discourse types, and organizational context—not post style—predicts which type appears.
ZeroShotDataAug: Generating and Augmenting Training Data with ChatGPT
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
In this paper, we investigate the use of data obtained from prompting a large generative language model, ChatGPT, to generate synthetic training data with the aim of augmenting data in low resource scenarios. We show that with appropriate task-specific ChatGPT prompts, we outperform the most popular existing approaches for such data augmentation. Furthermore, we investigate methodologies for evaluating the similarity of the augmented data generated from ChatGPT with the aim of validating and assessing the quality of the data generated.
fields
cs.CY 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Does online sustainability communication shape public discourse? Insights from six years of tenant-housing provider interactions
Tenant comments on Dutch housing association Facebook posts cluster into six discourse types, and organizational context—not post style—predicts which type appears.