On the use of text augmentation for stance and fake news detection
ABSTRACTData Augmentation (DA) aims at synthesizing new training instances by applying transformations to available ones. DA has several well-known benefits such as: (i) increasing generalization ability; (ii) preventing data scarcity; and (iii) helping resolve class imbalance issues. In this work,...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-07-01
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| Series: | Journal of Information and Telecommunication |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/24751839.2023.2198820 |