With the rapid increase in data scale, real-world datasets tend to exhibit long-tailed class
distributions (ie, a few classes account for most of the data, while most classes contain only …

In this work, a text classification method through a filter type feature selection for imbalanced
data is addressed. The model initially clusters the documents associated with a class …

In this article, features are selected using feature clustering and ranking of features for
imbalanced text data. Initially the text documents are represented in lower dimension using …

In this work, importance of preprocessing and segmentation of epigraphical documents have
been discussed and techniques are proposed to address the same. Preprocessing includes …

In this paper, the different dimensionality reduction techniques are presented for effective
text classification. The feature selection technique and feature transformation fallowed by …

This paper presents the classification of text data using the symbolic data type of interval-
valued feature selection method. Initially, the documents are represented in the form of …