Author:
Cosh Kenneth J.,Burns Robert,Daniel Toby
Abstract
PurposeWith 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/approachThe approach applies natural language processing (NLP) tools to automatically extract the content of some text, visualizing the results in a content cloud.FindingsContent 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/implicationsProvides 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 implicationsBeing able to automatically classify the content generated by web users will enable others to find more appropriate content.Originality/valueThe 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.
Subject
Library and Information Sciences
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