Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management Virtual Event Ireland October, 2020, pp. 1565-1574, 2020.
The incompleteness of positive labels and the presence of many unlabelled instances are common problems in binary classification applications such as in review helpfulness classification. Various studies from the classification literature consider all unlabelled instances as negative examples. However, a classification model that learns t...More
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