Using kNN Model for automatic text categorization

G Guo; H Wang; DA Bell; Y Bi; K Greer

doi:10.1007/s00500-005-0503-y

Using kNN Model for automatic text categorization

G Guo, H Wang, DA Bell, Y Bi, K Greer

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	423-430
Journal	Soft Computing
Volume	10
Issue number	5
DOIs	https://doi.org/10.1007/s00500-005-0503-y
Publication status	Published (in print/issue) - 1 Mar 2006

Bibliographical note

Other Details
------------------------------------
This paper investigates the strengths of k-nearest neighbour (k-NN) and Rocchio learning algorithms, and develops a new learning method called kNNModel for text categorization, which combines the strengths of KNN with those of Rocchio. A text categorization prototype system was developed within the EU FP5 Intelligent Content Management System (ICONS) project (IST-2001-32429), comprising kNNModel, kNN, Rocchio and Support Vector Machine (SVM). The kNNModel approach provides an effective tool for text indexing, which is an essential component of search engines, and the prototype system is being used as a benchmark system for developing new methods and techniques for text categorization.

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10.1007/s00500-005-0503-y

Cite this

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title = "Using kNN Model for automatic text categorization",

author = "G Guo and H Wang and DA Bell and Y Bi and K Greer",

note = "Other Details ------------------------------------ This paper investigates the strengths of k-nearest neighbour (k-NN) and Rocchio learning algorithms, and develops a new learning method called kNNModel for text categorization, which combines the strengths of KNN with those of Rocchio. A text categorization prototype system was developed within the EU FP5 Intelligent Content Management System (ICONS) project (IST-2001-32429), comprising kNNModel, kNN, Rocchio and Support Vector Machine (SVM). The kNNModel approach provides an effective tool for text indexing, which is an essential component of search engines, and the prototype system is being used as a benchmark system for developing new methods and techniques for text categorization.",

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