Method of Unlabeled Texts Classification
Wu Qiang · Jisuanji gongcheng · 2007
Using the specialty of the unsupervised clustering and the na?ve Bayes classification, the paper gives a method that gains results of the text clusters and takes some of results as the training samples of the na?ve Bayes classifier and let the trained na?ve Bayes classifier reclassify those texts in illegible area of the clustering results. Consequently the method can classify the unlabeled text accurately and also can gain a better result of classification.