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FACT: Fast Algorithm for Categorizing Text
2007
2007 IEEE Intelligence and Security Informatics
With the ever-increasing number of digital documents, the ability to automatically classifying those documents both quickly and accurately is becoming more critical and difficult. We present Fast Algorithm for Categorizing Text (FACT), which is a statistical based multi-way classifier with our proposed feature selection, Ambiguity measure(AM), that uses only the most unambiguous keywords to predict the category of a document. Our empirical results show that FACT outperforms the best results on
doi:10.1109/isi.2007.379490
dblp:conf/isi/MengleGP07
fatcat:cimze7elpndmrnpaj36deacsji