As the size of the document collections are increasing day-by-day, finding an essential
document clusters for classification problem is one of the major problem due to high inter …

ABSTRACT A breakneck progress of computers and web makes it easier to collect and store
large amount of information in the form of text; eg, reviews, forum postings, blogs, web …

In this research, document clustering is analyzed with the help of Adaptive Jaro Winkler with
Jellyfish Search Clustering (AJWJSC) algorithm and Chimp Optimization Algorithm (COA) …

The aim of text document classification is to automatically group a document to a predefined
class. The main problem of document classification is high dimensionality and sparsity of the …

In this paper, we propose a document classification model using Web documents as a part
of the training corpus in order to resolve the imbalance of the training corpus size per …

Text Classification is a challenging and a red hot field in the current scenario and has great
importance in text categorization applications. A lot of research work has been done in this …

With the generation of enormous data day by day, the need of feature reduction has
tremendously increased in the field of text classification. In this direction, this paper presents …

Text mining, also known as discovering knowledge from the text, which has emerged as a
possible solution for the current information explosion, refers to the process of extracting non …

The structure of a document contains rich information such as logical relations in context,
hierarchy, affiliation, dependence, and applicability. It will greatly affect the accuracy of …

The text clustering technique is an appropriate method used to partition a huge amount of
text documents into groups. The documents size affects the text clustering by decreasing its …