Ambiguity measure feature-selection algorithm

@article{Mengle2009AmbiguityMF,
  title={Ambiguity measure feature-selection algorithm},
  author={Saket S. R. Mengle and Nazli Goharian},
  journal={JASIST},
  year={2009},
  volume={60},
  pages={1037-1050}
}
With the increasing number of digital documents, the ability to automatically classify those documents both efficiently and accurately is becoming more critical and difficult. One of the major problems in text classification is the high dimensionality of feature space. We present the ambiguity measure (AM) feature-selection algorithm, which selects the most unambiguous features from the feature set. Unambiguous features are those features whose presence in a document indicate a strong degree of… CONTINUE READING
Highly Cited
This paper has 48 citations. REVIEW CITATIONS
29 Citations
30 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 29 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 30 references

A novel feature selection algorithm for text classification

  • S. Wenqian, H. Houkuan, Z. Haibin, L. Yongmin
  • Expert Systems with Applications: An…
  • 2007
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…