ActNeT: Active Learning for Networked Texts in Microblogging

@inproceedings{Hu2013ActNeTAL,
  title={ActNeT: Active Learning for Networked Texts in Microblogging},
  author={Xia Hu and Jiliang Tang and Huiji Gao and Huan Liu},
  booktitle={SDM},
  year={2013}
}
Supervised learning, e.g., classification, plays an important role in processing and organizing microblogging data. In microblogging, it is easy to mass vast quantities of unlabeled data, but would be costly to obtain labels, which are essential for supervised learning algorithms. In order to reduce the labeling cost, active learning is an effective way to select representative and informative instances to query for labels for improving the learned model. Different from traditional data in… CONTINUE READING
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