… clustering, each document could be classified into a unique … overlapping over several topics
with the LDA method for a … L6 category focused on local and field programs, courses, and …

… by eliminating irrelevant features. We compare the hyperplanebased approach with other
feature selection … Given two disjoint classes of n documents, namely, A and B. The centroid of a …

… UUGC and classify it into positive and negative classes employing text mining and machine
… We compute the average sentiment score of the overlapping words in these lexicons to get …

… This method produces nonoverlapping spherical shaped clusters after one … method of
classification as well as dimensionality reduction in which all the discriminating features of a class …

… In this paper, we propose a filter-based feature selection method called as Relevant-Based
Feature Ranking (RBFR) … A feature is important based on how it represents the class. If a …

… and their classes of sub-methods are given as follows: … size often causes overlapping of
features [131, 148]. It is … can minimize feature size by eliminating overlapping features during the …

… unique rules for certain chaotic or overlapping categories that have not been … documents
in the Reuters dataset's particular class. A recent research deals with the rule-based approach …

… To identify the number of disjoint groups captured in the two datasets, three clustering … For
the transformation of six classes into two, features 13 and 14 are used in this work, ie, counts …

… The expected solution to tackle the sentence overlapping problem with multiple classes is
to use a “pretrained word embedding” model like W2Vec and Glove. However, unfortunately, …

… class, hence, result in class disjuncts and class overlapping [52], [71], [11]. The different
variants of SMOTE are described in Table I. Apart from the discussed SMOTE variants, the …