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Content clouds: classifying content in Web 2.0

Kenneth J. Cosh (Computer Information Systems Department, Payap University, Chiang Mai, Thailand)
Robert Burns (Computer Information Systems Department, Payap University, Chiang Mai, Thailand)
Toby Daniel (Computer Information Systems Department, Payap University, Chiang Mai, Thailand)

Library Review

ISSN: 0024-2535

Article publication date: 10 October 2008

2498

Abstract

Purpose

With increasing amounts of user generated content being produced electronically in the form of wikis, blogs, forums etc. the purpose of this paper is to investigate a new approach to classifying ad hoc content.

Design/methodology/approach

The approach applies natural language processing (NLP) tools to automatically extract the content of some text, visualizing the results in a content cloud.

Findings

Content clouds share the visual simplicity of a tag cloud, but display the details of an article at a different level of abstraction, providing a complimentary classification.

Research limitations/implications

Provides the general approach to creating a content cloud. In the future, the process can be refined and enhanced by further evaluation of results. Further work is also required to better identify closely related articles.

Practical implications

Being able to automatically classify the content generated by web users will enable others to find more appropriate content.

Originality/value

The approach is original. Other researchers have produced a cloud, simply by using skiplists to filter unwanted words, this paper's approach improves this by applying appropriate NLP techniques.

Keywords

Citation

Cosh, K.J., Burns, R. and Daniel, T. (2008), "Content clouds: classifying content in Web 2.0", Library Review, Vol. 57 No. 9, pp. 722-729. https://doi.org/10.1108/00242530810911824

Publisher

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Emerald Group Publishing Limited

Copyright © 2008, Emerald Group Publishing Limited

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