Supervised Text Classification Algorithm

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A Supervised Text Classification Algorithm is a data-driven text classification algorithm that is a supervised classification algorithm.



References

2010

2007a

2007b

2002a

2002b

2001

  • (Slonim and Tishby, 2001) ⇒ N. Slonim, and N. Tishby. (2001). “The Power of Word Clusters for Text Classification.” In: Proceedings of the 23rd European Colloquium on Information Retrieval Research (ECIR 2001).

2000

1999

1998

  • (Apte et al., 1998) ⇒ C. Apte, F. Damerau, and Sholom M. Weiss. (1998). “Text mining with decision rules and decision trees.” In: Proceedings of the Conference on Automated Learning and Discorery, Workshop 6: Learning from Text and the Web.





  • ((McCallum & Nigam, 1998) ⇒ Andrew McCallum, and Kamal Nigam. (1998). “A Comparison of Event Models for Naive Bayes Text Classification.” In: Proceedings of AAAI-98 Workshop on Learning for Text Categorization.


1997

1996

1995

  • E. Wiener, J.O. Pedersen, and A.S. Weigend. (1995). “A neural network approach to topic spotting.” In: Proceedings of the Fourth Annual Symposium on Document Analysis and Information Retrieval (SDAIR 1995).
  • William W. Cohen. (1995). “Text Categorization and Relational Learning.” In: The Twelfth International Conference on Machine Learning (ICML 1995).

1994

1993

1992

1991

  • N. Fuhr, S. Hartmanna, G. Lustig, M. Schwantner, and K. Tzeras. (1991). “Air/x - a rule-based Multistage Indexing Systems for Large Subject Fields.” In: Proceedings of RIAO 1991.