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An analysis engine to recognize mentions of gene point mutations in document text. This is a wrapper around the original MutationFinder (http://mutationfinder.sourceforge.net/), published in the following paper: MutationFinder: A high-performance system for extracting point mutation mentions from text J. Gregory Caporaso, William A. Baumgartner Jr., David A. Randolph, K. Bretonnel Cohen, and Lawrence Hunter; Bioinformatics, 2007 23(14):1862-1865; doi:10.1093/bioinformatics/btm235;

Class for building and using a Complement class Naive Bayes classifier. For more information see: Jason D. Rennie, Lawrence Shih, Jaime Teevan, David R. Karger: Tackling the Poor Assumptions of Naive Bayes Text Classifiers. In: ICML, 616-623, 2003. P.S.: TF, IDF and length normalization transforms, as described in the paper, can be performed through weka.filters.unsupervised.StringToWordVector.