Noisy text categorization

  title={Noisy text categorization},
  author={Alessandro Vinciarelli},
  journal={Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.},
  pages={554-557 Vol.2}
This work presents categorization experiments performed over noisy texts. By noisy, we mean any text obtained through an extraction process (affected by errors) from media other than digital texts (e.g., transcriptions of speech recordings extracted with a recognition system). The performance of a categorization system over the clean and noisy (word error rate between /spl sim/ 10 and /spl sim/ 50 percent) versions of the same documents is compared. The noisy texts are obtained through… CONTINUE READING
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