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Title:
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A NOVEL SEMANTIC APPROACH TO DOCUMENT COLLECTIONS |
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Author(s):
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Andrea Addis , Manuela Angioni , Giuliano Armano , Roberto Demontis , Franco Tuveri , Eloisa Vargiu |
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ISBN:
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ISSN: 1646-3692 |
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Editors:
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Pedro Isaías and Marcin Paprzycki |
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Year:
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2009 |
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Edition:
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V IV,2 |
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Keywords:
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Text Categorization, Document Collections, Intelligent Software Systems, Machine Learning. |
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Type:
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Journal Paper |
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First Page:
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73 |
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Last Page:
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85 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Available document collections are more and more required for supervised text categorization tasks.
They are typically collections of documents classified by domain engineers. In this paper, we propose a
semantic text categorization approach able to automatically create document collections in which
documents are classified according to WordNet Domains taxonomy. Experiments have been performed
by training a classifier with an automatic document collection and comparing results with those obtained by training the same classifier with a document collection classified by domain engineers. Experimental
results point out that, on average, the performances of the automatic approach are quite similar to those
obtained on a document collection classified by hand. |
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