The task of extracting the used feature vector in mining tasks (classification, clustering… etc.)
is considered the most important task for enhancing the text processing capabilities. This …

Dimensionality reduction of feature vector size plays a vital role in enhancing the text
processing capabilities; it aims in reducing the size of the feature vector used in the mining …

Web document classification has become crucial as there has been a massive increase in
the magnitude of web pages across the web. In the research community, an efficient …

Every day the mass of information available, merely finding the relevant information is not
the only task of automatic text classification systems. The main problem is to classify which …

This paper explores a method that use WordNet concept to categorize text documents. The
bag of words representation used for text representation is unsatisfactory as it ignores …

With the rapid growth of information on the World Wide Web (WWW), classification of web
documents has become important for efficient information retrieval. Relevancy of information …

It is obvious that search engines are in rampant use in today's web world for tracing Web
documents) through particular keynotes which ultimately projects both the relevant and …

Web content classification utilizes for converting the organization document into predefined
classes with the help of machine learning algorithms. This is mostly applied in the industries …

Abstract World Wide Web is a continuously growing giant, and within the next few years,
Web contents will surely increase tremendously. Hence, there is a great requirement to have …

Text feature extraction is the process of convering unstructured text data into structured so
that machine learning algorithms can process it. One of the commonly used text feature …