In general, document classification research focuses on the automated placement of unseen
documents into pre-defined categories. This is regarded as one core technical component of …

While there are many aspects to managing corporate knowledge, one key issue is how to
organize corporate documents into categories of interest. In this paper, we focus on using …

Abstract Information retrieval systems employ the classification of documents into various
categories to facilitate retrieval. The problem of categorization depends on the successful …

This paper focuses on real world Web document classification problem. Real world Web
documents classification has different problems compare to experimental based …

With the explosive increase in Web based information, the need for an intelligent agent for
automatic classification has also been increased resulting in many research discoveries in …

A knowledge-based approach to classification is reported. The proposed methodology uses
personal construct theory for interviewing a domain expert to elicit classification knowledge …

An experimental office system currently being developed at Olivetti research integrates two
major requirements of office work: content based document retrieval and mail distribution. In …

Text categorization or text classification (TC) has recently received increased research
attention from information retrieval and machine learning communities, this focus is driven …

Existing news portals on the WWW aim to provide users with numerous articles that are
categorized into specific topics. Such a categorization procedure improves presentation of …

Classification is the process of dividing the data into number of groups which are either
dependent or independent of each other and each group acts as a class. The task of …