Cross-Lingual Text Categorization

@inproceedings{Bel2003CrossLingualTC,
  title={Cross-Lingual Text Categorization},
  author={N{\'u}ria Bel and Cornelis H. A. Koster and Marta Villegas},
  booktitle={ECDL},
  year={2003}
}
This article deals with the problem of Cross-Lingual Text Categorization (CLTC), which arises when documents in different languages must be classified according to the same classification tree. We describe practical and cost-effective solutions for automatic Cross-Lingual Text Categorization, both in case a sufficient number of training examples is available for each new language and in the case that for some language no training examples are available. Experimental results of the bi-lingual… CONTINUE READING
Highly Cited
This paper has 133 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 82 extracted citations

Cross-language sentiment classification based on Support Vector Machine

2015 11th International Conference on Natural Computation (ICNC) • 2015
View 4 Excerpts
Highly Influenced

134 Citations

051015'03'06'10'14'18
Citations per Year
Semantic Scholar estimates that this publication has 134 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…