Cloud computing is considered to be an integral aspect in all business and this is expected
to change the information technology (IT) landscape. This has been based on the model that …

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 …

Text clustering is an important method for effectively organising, summarising, and
navigating text information. The purpose of the clustering is to distinguish and classify the …

With the incredible increase in the amount of text data, the need to develop efficient methods
for processing and analyzing it increases. In this context, feature extraction from text is an …

Text analysis in the field of text mining requires complex techniques for handling several text
documents. Text clustering is among the most effective tactics in the field of text mining …

Two-third of the data generated by the internet is unstructured text in the form of e-mails,
audio, video, pdf files, word documents, text documents. Extraction of these unstructured text …

Representing documents is one of the critical steps in natural language processing and text
mining that focus on converting unstructured to structured documents with numeric vectors to …

New methods that are user-friendly and efficient are needed for guidance among the
masses of textual information available in the Internet and the World Wide Web. This paper …

Many clustering techniques have been widely developed in order to retrieve, filter, and
categorize documents available in the database or even on the Web. The issue to …

Feature selection is an important method for improving the efficiency and accuracy of text
categorization algorithms by removing redundant and irrelevant terms from the Data …