Negative Training Data Can be Harmful to Text Classification

Xiaoli Li, Bing Liu, See-Kiong Ng. Negative Training Data Can be Harmful to Text Classification. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, EMNLP 2010, 9-11 October 2010, MIT Stata Center, Massachusetts, USA, A meeting of SIGDAT, a Special Interest Group of the ACL. pages 218-228, ACL, 2010. [doi]

@inproceedings{LiLN10-0,
  title = {Negative Training Data Can be Harmful to Text Classification},
  author = {Xiaoli Li and Bing Liu and See-Kiong Ng},
  year = {2010},
  url = {http://www.aclweb.org/anthology/D10-1022},
  tags = {classification, data-flow},
  researchr = {https://researchr.org/publication/LiLN10-0},
  cites = {0},
  citedby = {0},
  pages = {218-228},
  booktitle = {Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, EMNLP 2010, 9-11 October 2010, MIT Stata Center, Massachusetts, USA, A meeting of SIGDAT, a Special Interest Group of the ACL},
  publisher = {ACL},
  isbn = {978-1-932432-86-2},
}