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Positive Unlabeled Learning Algorithm for One Class Classification of Social Text Stream with only very few Positive Training Samples
"... Text classification using a small labelled set (positive data set) and large unlabeled data is seen as a promising technique especially in case of text stream classification where it is highly possible that only few positive data and no negative data is available. This paper studies how to devise a ..."
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positive and unlabeled learning technique for the text stream environment. Our proposed approach works in two steps. Firstly we use the PNLH (Positive example and negative example labelling heuristic) approach for extracting both positive and negative example from unlabeled data. This extraction would
POUR L'OBTENTION DU GRADE DE DOCTEUR ÈS SCIENCES PAR
"... 2010 to my wife, Joyce, and my family...- Résumé- ..."
Approved by:
, 2006
"... ii iii CHRISTOPHER CHARLES WEIGLE: Displays for Exploration and Comparison of Nested ..."
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ii iii CHRISTOPHER CHARLES WEIGLE: Displays for Exploration and Comparison of Nested
