… on applying DiscLDA to model text documents. Finally, in … Because we want to predict the
class for a specific document… + 1) disjoint sets: one set of K0 elements for each class label that …

… features and ure to optimize text document c rest of the paper is of text categorization. After
that … Where Pij is the probability of a document from cluster j which is belonging to class i; m is …

… Structure by applying pruning and sibling merging on disjoint clusters. From the results it is
… of text documents. System plots confusion matrix based on number of clusters or classes. …

… context of text to organize large volumes of text documents. It … , and organization of text
documents (Allahyari et al., 2017). … to be the number of documents belonging to both class i and …

… Thus we have a disjoint partitioning of our training documents into a labeled set and an …
The sum of class memberships of a document over all classes is assumed to be one. Possible …

… our tests on medical image and text document collections. In this … given a set of documents
with class labels attached and a … divide the multi-class task into disjoint single-class problems. …

… for filtering and categorizing documents. For example, there … Many of the classes are not
completely disjoint, and hence a … on a relatively broad class of text categorization problems. In …

… of documents into a fixed number of predefined classes is the main objective of text … These
four categories are clearly disjoint and will help increase the accuracy of the classifier. For …

… new unsupervised method for text document clustering which … are document terms; in our
method features are classes of … randomly divided M times into disjoint train and test partitions …