An improved method for feature weighting to document categorization

ICFCC), 2010 2nd International Conference(2010)

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Abstract
Based on the significance of feature frequency, an improved weighting method for feature frequency is proposed, which considers the decision-making information in evaluating the contribution of feature frequency to document categorization. Experimental results show that this method could improve the space distribution of the document set. Furthermore, the values of macro accuracy, macro recall rate and macroF1 are all improved significantly.
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Key words
feature weighting,decision making,decision-making information,document categorization,real rough set,feature frequency,tf.idf,document handling,automation,rough set,fuzzy sets,tf idf,computer science,machine learning,workstations,frequency,set theory,mechanical engineering
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