A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
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We propose in this paper an adaptation of the k-Nearest Neighbor (k-NN) algorithm using category specific thresholds in a multiclass environment where a document can belong to more than one class. Our method uses feedback to tune the thresholds and in turn the classification performance over time. The experiments were run on the InFile data, comprising 100,000 English documents and 50 topics.