Automatic text categorization is the operation of sorting out the text documents into pre-
defined text categories using some machine learning algorithms. Normally, it defines the …

Diabetes is a disease that occurs when the blood glucose level is higher than normal and
also leads to health problems. Early and accurate diagnosis needs to be carried out on …

This paper explores the use of two similarity measures for categorizing Bangla text
documents into their respective domains. Cosine Similarity and Euclidean Distance have …

The target of a focused crawler (FC) is to retrieve pages related to a specific domain of
interest (DOI). However, FCs may be hasted if bad links were injected into their crawling …

Cloud computing offers elastic features to alleviate the challenges of web crawling. Building
crawlers in a scalable fashion has become highly needed. This paper proposes a new …

This paper proposes a novel hybrid classification model which has enhanced the
performance of the standard kNN (k= 1) classification model significantly. In this study by the …

People of all ages and socioeconomic levels, all over the world, are being diagnosed with
type 2 diabetes at rates that are higher than they have ever been. It is possible for it to be the …

The inception of abundant and hefty digitized text documents has emerged in recent years.
Such texts need to be categorized technically for storage and retrieval purpose. Text …

The paper presents an approach to the large scale text documents classification problem in
parallel environments. A two stage classifier is proposed, based on a combination of k …

Abstract Language-based text classification has attracted interest over the years, especially
in the fields of business, tourism, hospitality industry, international relations circles, sports …