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Text categorization is an important research in nature language process and content analysis. In this paper, we present latent factor SVM (LF-SVM) for text categorization which use latent factor vectors for category representation on text categorization. We prove that latent factors extracted by PLSA (probability latent semantic analysis) can span convex structure to express text category. Based on...
String matching plays a key role in web content monitoring systems. Suffix matching algorithms have good time efficiency, and thus are widely used. These algorithms require that all patterns in a set have the same length. When the patterns cannot satisfy this requirement, the leftmost characters, m being the length of the shortest pattern, are extracted to construct the data structure. We call such...
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