ML Anthology

Text Categorization Using Transductive Boosting

Hirotoshi Taira, Masahiko Haruno
ECML-PKDD 2001 pp. 454-465
doi:10.1007/3-540-44795-4_39 /ecmlpkdd/2001/taira2001ecml-text/

Abstract

In natural language tasks like text categorization, we usually have an enormous amount of unlabeled data in addition to a small amount of labeled data. We present here a transductive boosting method for text categorization in order to make use of the large amount of unlabeled data efficiently. Our experiments show that the transductive method outperforms conventional boosting techniques that employ only labeled data.

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Cite

Text

Taira and Haruno. "Text Categorization Using Transductive Boosting." European Conference on Machine Learning, 2001. doi:10.1007/3-540-44795-4_39

Markdown

[Taira and Haruno. "Text Categorization Using Transductive Boosting." European Conference on Machine Learning, 2001.](https://mlanthology.org/ecmlpkdd/2001/taira2001ecml-text/) doi:10.1007/3-540-44795-4_39

BibTeX

@inproceedings{taira2001ecml-text,
  title     = {{Text Categorization Using Transductive Boosting}},
  author    = {Taira, Hirotoshi and Haruno, Masahiko},
  booktitle = {European Conference on Machine Learning},
  year      = {2001},
  pages     = {454-465},
  doi       = {10.1007/3-540-44795-4_39},
  url       = {https://mlanthology.org/ecmlpkdd/2001/taira2001ecml-text/}
}