Word Sequences as Features in Text-learning

@inproceedings{GrobelnikJ1998WordSA,
  title={Word Sequences as Features in Text-learning},
  author={Marko GrobelnikJ and Stefan InstituteJamova and Marko. Grobelnik},
  year={1998}
}
Dunja Mladeni c & Marko Grobelnik J.Stefan Institute Jamova 39, 1000 Ljubljana, Slovenia Dunja.Mladenic@ijs.si, Marko.Grobelnik@ijs.si Abstract This paper proposes an e cient algorithm for the generation of new features that enrich the known bagof-words document representation. New features are generated based on word sequences of di erent length. Learning is performed using Naive Bayesian classi er on feature-vectors, where only highly scored features are used. The performance of enriched… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-9 of 9 references

Fast Discovery of Association Rules

Advances in Knowledge Discovery and Data Mining • 1996
View 10 Excerpts
Highly Influenced

Machine Learning for Better Web Browsing

J. Stefan InstituteJamova, SloveniaDunja. Mladenic
2000
View 1 Excerpt

E cient text cat- egorization

M. Grobelnik, D. Mladeni c
Proceedings of the ECML-98 Text Mining workshop • 1998

Turning Yahoo into an Automatic Web-Page Classi er

D. Mladeni c
Proceedings of the 13th European Conference on Arit cial Intelligence • 1998
View 1 Excerpt

Machine Learning. The McGraw- Hill Companies, Inc

T. M. Mitchell
1997

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