Finding keywords amongst noise: automatic text classification without parsing
Abstract
The amount of text stored on the Internet, and in our libraries, continues to expand at an exponential rate. There is a great practical need to locate relevant content. This requires quick automated methods for classifying textual information, according to subject. We propose a quick statistical approach, which can distinguish between 'keywords' and 'noisewords', like 'the' and 'a', without the need to parse the text into its parts of speech....
Paper Details
Title
Finding keywords amongst noise: automatic text classification without parsing
Published Date
Jun 7, 2007
Journal
Citation AnalysisPro
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History