Information extraction as a basis for high-precision text classification
ACM Transactions on Information Systems (TOIS)
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Supporting Practices in Web-Based Learning
ICWL '02 Proceedings of the First International Conference on Advances in Web-Based Learning
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In order to evaluate the security rank of document owner (sender or Web station), the documents discrimination is widely adopted to classify Web documents. The old strategy based on keywords matching often leads to low precision. This article proposes a new model called CKPU (Classifying by key Phrase Understanding) including the key sentence template, mining threshold vector, objective and, subjective discriminating. The experiment result shows that the algorithms are efficient for discriminating documents.