… text documents into two disjoint classes. Two sample sets of training examples (text documents)
… are used to classify unseen text documents. This is a typical case of supervised “crisp” …

… noisy data and their capability to learn disjunctive expressions seem suitable for document
… highest local accuracy for a test document, we assign the document to class ci, which is the …

… to collect experience with modeling disjoint classes, and identified … of a class label in a corpus
of textual documents (see … to be able to classify each pair of classes as being disjoint (+) or …

… of using class associated words to classify text documents from unlabeled documents. Section
4 … In standard setting of SSL, documents D can be divided into two disjoint subsets: DL …

… case of overlapping binary classes, where document may be assigned to multiple categories.
… Text classification in a hierarchical mixture model for small training sets. In Proceedings of …

… which are especially designed for text classification. Additionally, our unsupervised results …
classification of these objects induces a partition of X into K disjoint classes where each class …

… to classify new documents by calculating which class was most likely to have generated
the given … From the remaining training documents, we randomly select up to ten non-overlapping …

… In this method each pair of possibly overlapping classes is … text summarization method to
replace full text documents by its summary in supervised and unsupervised text classification …

… When the classification is on the text documents in different … , it is called cross-language text
classification. There is much … documents are manually labeled into five disjoint classes (0–4…

… Further, in disjoint partition, the text document will appear in … It is then used for predicting
classes of unseen documents. … properly classified text documents and each and every document …