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Semi-supervised Gender Classification with Joint Textual and Social Modeling

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractIn gender classification, labeled data is often limited while unlabeled data is ample. This motivates semi-supervised learning for gender classification to improve the performance by exploring the knowledge in both …...

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