Intelligent Fusion of Evidence from Multiple Sources for Text Classification
Automatic text classification using current approaches is known to perform poorly when documents are noisy or when limited amounts of textual content is available. Yet, many users need access to such documents, which are found in large numbers in digital libraries and in the WWW. If documents are no...
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Virginia Tech
2014
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| Online Access: | http://hdl.handle.net/10919/28198 http://scholar.lib.vt.edu/theses/available/etd-07032006-152103/ |