Hierarchical document categorization with k-NN and concept-based thesauri
Information Processing and Management: an International Journal
Mining spam email to identify common origins for forensic application
Proceedings of the 2008 ACM symposium on Applied computing
The Chinese text categorization system with association rule and category priority
Expert Systems with Applications: An International Journal
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ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
Latent semantic analysis for text categorization using neural network
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Hierarchical document categorization with k-NN and concept-based thesauri
Information Processing and Management: an International Journal
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ACE'12 Proceedings of the 9th international conference on Advances in Computer Entertainment
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Text categoriztion (also called text classification) is the process of identifying the class to which a text document belongs. This paper proposes to use a simple non-weighted feature KNN algorithm for text caegoriztion. We propose to use a feature selection method that finds the relevant features for the learning task at hand using feature interaction (based on word interdependencies).