The Feature Difference Coefficient: Classification by Means of Feature Distributions

Waltinger U, Mehler A (2009)
In: Proceedings of Text Mining Services (TMS), March 23-25, Leipzig, Germany. .

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Abstract
This paper presents a model of text classification using feature frequency distribution. The proposed algorithm offers not only sensitivity to linguistic but also to structure features and calculates a unified fingerprint for each category. Classifi cation is done by finding the closest match to prelearned models using a simple distance metric. The approach will be evaluated against three different classification scenarios. Language identification, text classification based on the Reuters corpus and web genre classification.
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Waltinger U, Mehler A. The Feature Difference Coefficient: Classification by Means of Feature Distributions. In: Proceedings of Text Mining Services (TMS), March 23-25, Leipzig, Germany. 2009.
Waltinger, U., & Mehler, A. (2009). The Feature Difference Coefficient: Classification by Means of Feature Distributions. Proceedings of Text Mining Services (TMS), March 23-25, Leipzig, Germany.
Waltinger, U., and Mehler, A. (2009). “The Feature Difference Coefficient: Classification by Means of Feature Distributions” in Proceedings of Text Mining Services (TMS), March 23-25, Leipzig, Germany.
Waltinger, U., & Mehler, A., 2009. The Feature Difference Coefficient: Classification by Means of Feature Distributions. In Proceedings of Text Mining Services (TMS), March 23-25, Leipzig, Germany.
U. Waltinger and A. Mehler, “The Feature Difference Coefficient: Classification by Means of Feature Distributions”, Proceedings of Text Mining Services (TMS), March 23-25, Leipzig, Germany, 2009.
Waltinger, U., Mehler, A.: The Feature Difference Coefficient: Classification by Means of Feature Distributions. Proceedings of Text Mining Services (TMS), March 23-25, Leipzig, Germany. (2009).
Waltinger, Ulli, and Mehler, Alexander. “The Feature Difference Coefficient: Classification by Means of Feature Distributions”. Proceedings of Text Mining Services (TMS), March 23-25, Leipzig, Germany. 2009.
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