Unsupervised detection of anomalous text
This thesis describes work on the detection of anomalous material in text without the use of training data. We use the term anomalous to refer to text that is irregular, or deviates signihcantly from its surrounding context. In this thesis we show to identifying such abnormalities in text can be vie...
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University of Sheffield
2008
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.500287 |