Acquiring Background Knowledge to Improve Moral Value Prediction
ASONAM '18: International Conference on Advances in Social Networks Analysis and Mining Barcelona Spain August, 2018, pp. 552-559, 2018.
We address the problem of detecting expressions of moral values in tweets using content analysis. This is a particularly challenging problem because moral values are often only implicitly signaled in language, and tweets contain little contextual information due to length constraints. To address these obstacles, we present a novel approac...More
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