Predicting the volume of comments on online news stories

@article{Tsagkias2009PredictingTV,
  title={Predicting the volume of comments on online news stories},
  author={M. Tsagkias and W. Weerkamp and M. Rijke},
  journal={Proceedings of the 18th ACM conference on Information and knowledge management},
  year={2009}
}
  • M. Tsagkias, W. Weerkamp, M. Rijke
  • Published 2009
  • Computer Science, Sociology
  • Proceedings of the 18th ACM conference on Information and knowledge management
On-line news agents provide commenting facilities for readers to express their views with regard to news stories. [...] Key Method We address the prediction task as a two stage classification task: a binary classification identifies articles with the potential to receive comments, and a second binary classification receives the output from the first step to label articles "low" or "high" comment volume. The results show solid performance for the former task, while performance degrades for the latter.Expand
142 Citations

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References

SHOWING 1-2 OF 2 REFERENCES
Description and Prediction of Slashdot Activity
  • 87
  • Highly Influential
  • PDF
Predicting the popularity of online content
  • 960
  • Highly Influential
  • PDF