STED: semi-supervised targeted-interest event detectionin in twitter

@inproceedings{Hua2013STEDST,
  title={STED: semi-supervised targeted-interest event detectionin in twitter},
  author={Ting Hua and Feng Chen and Liang Zhao and Chang-Tien Lu and Naren Ramakrishnan},
  booktitle={KDD},
  year={2013}
}
Social microblogs such as Twitter and Weibo are experiencing an explosive growth with billions of global users sharing their daily observations and thoughts. Beyond public interests (e.g., sports, music), microblogs can provide highly detailed information for those interested in public health, homeland security, and financial analysis. However, the language used in Twitter is heavily informal, ungrammatical, and dynamic. Existing data mining algorithms require extensive manually labeling to… CONTINUE READING
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