/TASC

adaptive co-training MSVM algorithm

Primary LanguageJava

TASC: Topic-Adaptive Sentiment Classification

TASC is a multi-class SVM (Support Vector Machine) classifier based on co-training and topic-adaption.

Citations

Please cite the following references in your related work.

[1] Shenghua Liu, Fuxin Li, Fangtao Li, Xueqi Cheng, and Huawei Shen, “Adaptive co-training svm for sentiment classification on tweets” in Proc. of the 22nd ACM International Conference on Information and Knowledge Management, (CIKM ’13). New York, NY, USA, 2013, pp. 2079–2088.

@inproceedings{liu2013adaptive,
  title={Adaptive co-training SVM for sentiment classification on tweets},
  author={Liu, Shenghua and Li, Fuxin and Li, Fangtao and Cheng, Xueqi and Shen, Huawei},
  booktitle={Proceedings of the 22nd ACM international conference on Information \& Knowledge Management},
  pages={2079--2088},
  year={2013},
  organization={ACM}
}

[2] Shenghua Liu, Fuxin Li, and Fangtao Li, Xueqi Cheng, “TASC: Topic-Adaptive Sentiment Classification on Dynamic Tweets” IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 27, issue 6, 2015, pp. 1696-1709.

@article{liu2015tasc,
  title={TASC: topic-adaptive sentiment classification on dynamic tweets},
  author={Liu, Shenghua and Cheng, Xueqi and Li, Fuxin and Li, Fangtao},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  volume={27},
  number={6},
  pages={1696--1709},
  year={2015},
  publisher={IEEE}
}